Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYejin Choi 0001
Ye Jin Choi 0001
Person information
- affiliation: University of Washington, School of Computer Science & Engineering, Seattle, WA, USA
- affiliation: Allen Institute for Artificial Intelligence, Seattle, WA, USA
- affiliation: Stony Brook University, Department of Computer Science, Stony Brook, NY, USA
- affiliation (PhD 2010): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Yejin Choi (aka: YeJin Choi, Ye-Jin Choi, Ye Jin Choi) — disambiguation page
- Yejin Choi 0002 (aka: Ye Jin Choi 0002) — Chungnam National University, Department of Mechatronics Engineering, Daejeon, Korea
- YeJin Choi 0003 (aka: Yejin Choi 0003) — Sungshin Women's University, Department of Future Convergence Technology Engineering, Seoul, Korea
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c214]Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. AAAI 2024: 19937-19947- [c213]Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz:
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. EACL (1) 2024: 2257-2273 - [i200]Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao:
Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR abs/2401.03568 (2024) - [i199]Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith:
Tuning Language Models by Proxy. CoRR abs/2401.08565 (2024) - [i198]Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, Hannaneh Hajishirzi:
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens. CoRR abs/2401.17377 (2024) - [i197]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
A Roadmap to Pluralistic Alignment. CoRR abs/2402.05070 (2024) - [i196]Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi:
Do Membership Inference Attacks Work on Large Language Models? CoRR abs/2402.07841 (2024) - [i195]Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zaïd Harchaoui, Yejin Choi:
JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models. CoRR abs/2402.08761 (2024) - [i194]Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi:
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR abs/2402.09052 (2024) - [i193]Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren:
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. CoRR abs/2402.11442 (2024) - [i192]Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu:
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR abs/2402.15610 (2024) - [i191]Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana:
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs. CoRR abs/2403.04801 (2024) - [i190]Jaehun Jung, Ximing Lu, Liwei Jiang, Faeze Brahman, Peter West, Pang Wei Koh, Yejin Choi:
Information-Theoretic Distillation for Reference-less Summarization. CoRR abs/2403.13780 (2024) - [i189]Jimin Mun, Liwei Jiang, Jenny T. Liang, Inyoung Cheong, Nicole DeCario, Yejin Choi, Tadayoshi Kohno, Maarten Sap:
Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits. CoRR abs/2403.14791 (2024) - 2023
- [j10]Yejin Choi:
Common Sense: the Dark Matter of Language and Intelligence. Proc. VLDB Endow. 16(12): 4139 (2023) - [c212]Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. ACL (2) 2023: 228-242 - [c211]Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee
, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi:
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. ACL (1) 2023: 688-714 - [c210]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) 2023: 2007-2030 - [c209]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) 2023: 2665-2679 - [c208]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Commonsense Knowledge Transfer for Pre-trained Language Models. ACL (Findings) 2023: 5946-5960 - [c207]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha:
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL (1) 2023: 6692-6712 - [c206]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) 2023: 7103-7128 - [c205]Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi:
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. ACL (1) 2023: 9614-9630 - [c204]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. ACL (Findings) 2023: 10452-10465 - [c203]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) 2023: 11136-11155 - [c202]Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula:
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. ACL (1) 2023: 11253-11271 - [c201]Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. ACL (1) 2023: 13960-13980 - [c200]Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap:
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. ACL (1) 2023: 15162-15180 - [c199]Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui:
Influence Diagnostics under Self-concordance. AISTATS 2023: 10028-10076 - [c198]Yejin Choi:
Common Sense: The Dark Matter of Language and Intelligence. AAMAS 2023: 2 - [c197]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR 2023: 10845-10856 - [c196]Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi:
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. EACL 2023: 2610-2627 - [c195]Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP 2023: 790-807 - [c194]Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu:
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. EMNLP 2023: 894-914 - [c193]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 2023: 1127-1149 - [c192]Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. EMNLP 2023: 1264-1287 - [c191]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - [c190]Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi:
STEER: Unified Style Transfer with Expert Reinforcement. EMNLP (Findings) 2023: 7546-7562 - [c189]Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi:
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. EMNLP (Findings) 2023: 8250-8263 - [c188]Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz:
Crystal: Introspective Reasoners Reinforced with Self-Feedback. EMNLP 2023: 11557-11572 - [c187]Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi:
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. EMNLP (Findings) 2023: 12140-12159 - [c186]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. EMNLP 2023: 12930-12949 - [c185]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Bot Populations in Twitter Communities. EMNLP (Findings) 2023: 14295-14312 - [c184]Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap:
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. EMNLP 2023: 14397-14413 - [c183]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
Champagne: Learning Real-world Conversation from Large-Scale Web Videos. ICCV 2023: 15452-15463 - [c182]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. ICLR 2023 - [c181]Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. ICLR 2023 - [c180]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. ICML 2023: 26311-26325 - [c179]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 2023 - [c178]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? NeurIPS 2023 - [c177]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS 2023 - [c176]Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS 2023 - [c175]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS 2023 - [i188]Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox:
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. CoRR abs/2301.12050 (2023) - [i187]Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR abs/2302.00381 (2023) - [i186]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos. CoRR abs/2303.09713 (2023) - [i185]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR abs/2304.06939 (2023) - [i184]Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR abs/2304.14399 (2023) - [i183]Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao:
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR abs/2305.00970 (2023) - [i182]Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. CoRR abs/2305.03695 (2023) - [i181]Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta:
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. CoRR abs/2305.04978 (2023) - [i180]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR abs/2305.07095 (2023) - [i179]Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz:
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. CoRR abs/2305.14763 (2023) - [i178]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR abs/2305.15065 (2023) - [i177]Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi:
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing. CoRR abs/2305.16635 (2023) - [i176]Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap:
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. CoRR abs/2305.17174 (2023) - [i175]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR abs/2305.17390 (2023) - [i174]Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha:
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration. CoRR abs/2305.17696 (2023) - [i173]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. CoRR abs/2305.18654 (2023) - [i172]Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona J. Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi:
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR abs/2305.19472 (2023) - [i171]Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. CoRR abs/2306.00924 (2023) - [i170]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. CoRR abs/2306.02379 (2023) - [i169]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Commonsense Knowledge Transfer for Pre-trained Language Models. CoRR abs/2306.02388 (2023) - [i168]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR abs/2306.14050 (2023) - [i167]Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. CoRR abs/2309.00779 (2023) - [i166]Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz:
Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding. CoRR abs/2309.15028 (2023) - [i165]Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz:
Crystal: Introspective Reasoners Reinforced with Self-Feedback. CoRR abs/2310.04921 (2023) - [i164]Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren:
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR abs/2310.08559 (2023) - [i163]Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi:
FiLM: Fill-in Language Models for Any-Order Generation. CoRR abs/2310.09930 (2023) - [i162]Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu:
Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. CoRR abs/2310.10418 (2023) - [i161]Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr:
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. CoRR abs/2310.11324 (2023) - [i160]Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu:
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. CoRR abs/2310.11564 (2023) - [i159]Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap:
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. CoRR abs/2310.15421 (2023) - [i158]Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi:
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. CoRR abs/2310.15431 (2023) - [i157]Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi:
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. CoRR abs/2310.17793 (2023) - [i156]Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi:
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. CoRR abs/2310.17884 (2023) - [i155]Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". CoRR abs/2311.00059 (2023) - [i154]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR abs/2311.02805 (2023) - [i153]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR abs/2311.05657 (2023) - [i152]Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi:
STEER: Unified Style Transfer with Expert Reinforcement. CoRR abs/2311.07167 (2023) - [i151]Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren:
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. CoRR abs/2311.07237 (2023) - [i150]Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr:
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. CoRR abs/2311.08469 (2023) - [i149]Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman:
MacGyver: Are Large Language Models Creative Problem Solvers? CoRR abs/2311.09682 (2023) - [i148]Yujie Lu, Xiujun Li, William Yang Wang, Yejin Choi:
VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following. CoRR abs/2311.17647 (2023) - [i147]Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi:
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. CoRR abs/2312.01552 (2023) - [i146]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR abs/2312.04837 (2023) - [i145]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR abs/2312.05979 (2023) - 2022
- [j9]Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science: Interpreting Figurative Language in Narratives. Trans. Assoc. Comput. Linguistics 10: 589-606 (2022) - [c174]Sean Welleck, Peter West, Jize Cao, Yejin Choi:
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. AAAI 2022: 8629-8637 - [c173]Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. ACL (Findings) 2022: 589-612 - [c172]Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. ACL (1) 2022: 3108-3127 - [c171]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) 2022: 3154-3169 - [c170]Peter West, Chris Quirk, Michel Galley, Yejin Choi:
Probing Factually Grounded Content Transfer with Factual Ablation. ACL (Findings) 2022: 3732-3746 - [c169]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. ACL (1) 2022: 7250-7274 - [c168]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR 2022: 16354-16366 - [c167]Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) 2022: 558-575 - [c166]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. EMNLP 2022: 1266-1279 - [c165]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. EMNLP 2022: 3762-3780 - [c164]Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap:
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP 2022: 4005-4029 - [c163]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c162]Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta:
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. EMNLP (Findings) 2022: 5056-5072 - [c161]Saadia Gabriel, Hamid Palangi, Yejin Choi:
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP (Findings) 2022: 5635-5645 - [c160]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. EMNLP (Findings) 2022: 6826-6847 - [c159]Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi:
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. EMNLP 2022: 8938-8958 - [c158]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP 2022: 9649-9668 - [c157]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP 2022: 11444-11458 - [c156]Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta:
Understanding Dataset Difficulty with V-Usable Information. ICML 2022: 5988-6008 - [c155]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT 2022: 632-658 - [c154]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c153]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. NAACL-HLT 2022: 3464-3478 - [c152]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT 2022: 3540-3557 - [c151]Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach:
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT 2022: 3574-3586 - [c150]Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi:
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT 2022: 3631-3643 - [c149]Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT 2022: 4492-4507 - [c148]Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi:
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT 2022: 4602-4625 - [c147]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. NAACL-HLT 2022: 5884-5906 - [c146]Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi:
Aligning to Social Norms and Values in Interactive Narratives. NAACL-HLT 2022: 5994-6017 - [c145]Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
QUARK: Controllable Text Generation with Reinforced Unlearning. NeurIPS 2022 - [c144]Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi:
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. NeurIPS 2022 - [c143]Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi:
NaturalProver: Grounded Mathematical Proof Generation with Language Models. NeurIPS 2022 - [c142]Yejin Choi:
Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge. WSDM 2022: 3 - [i144]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR abs/2201.02639 (2022) - [i143]Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz:
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR abs/2201.02662 (2022) - [i142]Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. CoRR abs/2201.05320 (2022) - [i141]Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR abs/2201.05955 (2022) - [i140]Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR abs/2202.04800 (2022) - [i139]Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi:
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. CoRR abs/2202.11705 (2022) - [i138]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR abs/2203.05386 (2022) - [i137]Peter West, Chris Quirk, Michel Galley, Yejin Choi:
Probing Factually Grounded Content Transfer with Factual Ablation. CoRR abs/2203.10133 (2022) - [i136]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i135]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i134]Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi:
Aligning to Social Norms and Values in Interactive Narratives. CoRR abs/2205.01975 (2022) - [i133]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i132]Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi:
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. CoRR abs/2205.11658 (2022) - [i131]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. CoRR abs/2205.11822 (2022) - [i130]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR abs/2205.12630 (2022) - [i129]Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap:
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR abs/2205.12688 (2022) - [i128]Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi:
NaturalProver: Grounded Mathematical Proof Generation with Language Models. CoRR abs/2205.12910 (2022) - [i127]Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR abs/2205.13636 (2022) - [i126]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i125]Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi:
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. CoRR abs/2209.06293 (2022) - [i124]Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi:
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR abs/2210.01241 (2022) - [i123]Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi:
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. CoRR abs/2210.03078 (2022) - [i122]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR abs/2210.04982 (2022) - [i121]Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta:
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. CoRR abs/2210.12365 (2022) - [i120]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. CoRR abs/2210.13312 (2022) - [i119]Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi:
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR abs/2210.13800 (2022) - [i118]Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. CoRR abs/2211.00053 (2022) - [i117]Saadia Gabriel, Hamid Palangi, Yejin Choi:
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? CoRR abs/2211.04364 (2022) - [i116]Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui:
Statistical and Computational Guarantees for Influence Diagnostics. CoRR abs/2212.04014 (2022) - [i115]Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi:
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR abs/2212.09246 (2022) - [i114]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR abs/2212.10060 (2022) - [i113]Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula:
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. CoRR abs/2212.10409 (2022) - [i112]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR abs/2212.10465 (2022) - [i111]Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. CoRR abs/2212.10543 (2022) - [i110]Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
MAUVE Scores for Generative Models: Theory and Practice. CoRR abs/2212.14578 (2022) - 2021
- [j8]Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WinoGrande: an adversarial winograd schema challenge at scale. Commun. ACM 64(9): 99-106 (2021) - [c141]Antoine Bosselut, Ronan Le Bras, Yejin Choi:
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. AAAI 2021: 4923-4931 - [c140]Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi:
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. AAAI 2021: 6384-6392 - [c139]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI 2021: 12592-12601 - [c138]Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. AAAI 2021: 12760-12767 - [c137]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI 2021: 12857-12865 - [c136]Nicholas Lourie, Ronan Le Bras, Yejin Choi:
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. AAAI 2021: 13470-13479 - [c135]Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. AAAI 2021: 13480-13488 - [c134]Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
GO FIGURE: A Meta Evaluation of Factuality in Summarization. ACL/IJCNLP (Findings) 2021: 478-487 - [c133]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) 2021: 1261-1274 - [c132]Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi:
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) 2021: 1435-1450 - [c131]Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi:
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation. ACL/IJCNLP (1) 2021: 2026-2039 - [c130]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) 2021: 2040-2050 - [c129]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL/IJCNLP (1) 2021: 6691-6706 - [c128]Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui:
TIMEDIAL: Temporal Commonsense Reasoning in Dialog. ACL/IJCNLP (1) 2021: 7066-7076 - [c127]Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Analyzing Commonsense Emergence in Few-shot Knowledge Models. AKBC 2021 - [c126]Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Revisiting Visual Representations in Vision-Language Models. CVPR 2021: 5579-5588 - [c125]Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL 2021: 435-447 - [c124]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith:
Challenges in Automated Debiasing for Toxic Language Detection. EACL 2021: 3143-3155 - [c123]Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. EMNLP (1) 2021: 698-718 - [c122]Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg:
Contrastive Explanations for Model Interpretability. EMNLP (1) 2021: 1597-1611 - [c121]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) 2021: 2138-2149 - [c120]Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. EMNLP (1) 2021: 7038-7051 - [c119]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) 2021: 7404-7418 - [c118]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) 2021: 7514-7528 - [c117]Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-HLT 2021: 4288-4299 - [c116]Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi:
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. NAACL-HLT 2021: 4380-4397 - [c115]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT 2021: 4856-4880 - [c114]Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui:
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers. NeurIPS 2021: 4816-4828 - [c113]Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals. NeurIPS 2021: 12930-12942 - [c112]Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. NeurIPS Datasets and Benchmarks 2021 - [c111]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. NeurIPS Datasets and Benchmarks 2021 - [c110]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS 2021: 23634-23651 - [i109]Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Understanding Few-Shot Commonsense Knowledge Models. CoRR abs/2101.00297 (2021) - [i108]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modularization for Neural Generation. CoRR abs/2101.00371 (2021) - [i107]Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Making Visual Representations Matter in Vision-Language Models. CoRR abs/2101.00529 (2021) - [i106]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i105]Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi:
Challenges in Automated Debiasing for Toxic Language Detection. CoRR abs/2102.00086 (2021) - [i104]Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR abs/2102.01263 (2021) - [i103]Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui:
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. CoRR abs/2102.01454 (2021) - [i102]Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg:
Contrastive Explanations for Model Interpretability. CoRR abs/2103.01378 (2021) - [i101]Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. CoRR abs/2103.13009 (2021) - [i100]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. CoRR abs/2104.01112 (2021) - [i99]Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi:
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. CoRR abs/2104.06511 (2021) - [i98]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. CoRR abs/2104.08251 (2021) - [i97]Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer:
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. CoRR abs/2104.08315 (2021) - [i96]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR abs/2104.08718 (2021) - [i95]Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi:
Misinfo Belief Frames: A Case Study on Covid & Climate News. CoRR abs/2104.08790 (2021) - [i94]Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi:
On-the-Fly Controlled Text Generation with Experts and Anti-Experts. CoRR abs/2105.03023 (2021) - [i93]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR abs/2106.00188 (2021) - [i92]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. CoRR abs/2106.02636 (2021) - [i91]Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui:
TIMEDIAL: Temporal Commonsense Reasoning in Dialog. CoRR abs/2106.04571 (2021) - [i90]Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral. CoRR abs/2106.07898 (2021) - [i89]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Scarecrow: A Framework for Scrutinizing Machine Text. CoRR abs/2107.01294 (2021) - [i88]Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science : Interpreting Figurative Language in Narratives. CoRR abs/2109.00087 (2021) - [i87]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. CoRR abs/2109.07830 (2021) - [i86]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR abs/2109.08544 (2021) - [i85]Sean Welleck, Peter West, Jize Cao, Yejin Choi:
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics. CoRR abs/2109.13986 (2021) - [i84]Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi:
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. CoRR abs/2110.07178 (2021) - [i83]Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi:
Delphi: Towards Machine Ethics and Norms. CoRR abs/2110.07574 (2021) - [i82]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. CoRR abs/2110.08387 (2021) - [i81]Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta:
Information-Theoretic Measures of Dataset Difficulty. CoRR abs/2110.08420 (2021) - [i80]Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith:
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. CoRR abs/2111.07997 (2021) - [i79]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. CoRR abs/2111.08940 (2021) - [i78]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR abs/2112.04139 (2021) - [i77]Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR abs/2112.08348 (2021) - [i76]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. CoRR abs/2112.08674 (2021) - [i75]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - [i74]Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. CoRR abs/2112.08995 (2021) - 2020
- [c109]Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Commonsense Knowledge Base Completion with Structural and Semantic Context. AAAI 2020: 2925-2933 - [c108]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. AAAI 2020: 7432-7439 - [c107]Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WinoGrande: An Adversarial Winograd Schema Challenge at Scale. AAAI 2020: 8732-8740 - [c106]Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth:
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) 2020: 27-33 - [c105]Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker:
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. ACL 2020: 1970-1978 - [c104]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c103]Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi:
Procedural Reading Comprehension with Attribute-Aware Context Flow. AKBC 2020 - [c102]Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. AKBC 2020 - [c101]Vered Shwartz, Yejin Choi:
Do Neural Language Models Overcome Reporting Bias? COLING 2020: 6863-6870 - [c100]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. ECCV (30) 2020: 121-137 - [c99]Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
VisualCOMET: Reasoning About the Dynamic Context of a Still Image. ECCV (5) 2020: 508-524 - [c98]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. EMNLP (1) 2020: 653-670 - [c97]Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) 2020: 794-805 - [c96]Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey:
G-DAug: Generative Data Augmentation for Commonsense Reasoning. EMNLP (Findings) 2020: 1008-1025 - [c95]Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. EMNLP (Findings) 2020: 1823-1840 - [c94]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. EMNLP (Findings) 2020: 2810-2829 - [c93]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. EMNLP (Findings) 2020: 3356-3369 - [c92]Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. EMNLP (1) 2020: 4274-4295 - [c91]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) 2020: 4615-4629 - [c90]Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) 2020: 4661-4675 - [c89]Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi:
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction. EMNLP (1) 2020: 7426-7441 - [c88]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) 2020: 9275-9293 - [c87]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. ICLR 2020 - [c86]Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. ICLR 2020 - [c85]Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. ICML 2020: 1078-1088 - [i73]Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. CoRR abs/2002.04108 (2020) - [i72]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i71]Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi:
Procedural Reading Comprehension with Attribute-Aware Context Flow. CoRR abs/2003.13878 (2020) - [i70]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. CoRR abs/2004.03607 (2020) - [i69]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. CoRR abs/2004.05483 (2020) - [i68]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. CoRR abs/2004.06165 (2020) - [i67]Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi:
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. CoRR abs/2004.10796 (2020) - [i66]Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey:
G-DAUG: Generative Data Augmentation for Commonsense Reasoning. CoRR abs/2004.11546 (2020) - [i65]Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. CoRR abs/2004.14967 (2020) - [i64]Nicholas Lourie, Ronan Le Bras, Yejin Choi:
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. CoRR abs/2008.09094 (2020) - [i63]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR abs/2009.10795 (2020) - [i62]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. CoRR abs/2009.11462 (2020) - [i61]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR abs/2010.01486 (2020) - [i60]Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR abs/2010.05906 (2020) - [i59]Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi:
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs. CoRR abs/2010.05953 (2020) - [i58]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. CoRR abs/2010.07526 (2020) - [i57]Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi:
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. CoRR abs/2010.08566 (2020) - [i56]Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
Go Figure! A Meta Evaluation of Factuality in Summarization. CoRR abs/2010.12834 (2020) - [i55]Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. CoRR abs/2010.12884 (2020) - [i54]Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi:
PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction. CoRR abs/2010.13816 (2020) - [i53]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. CoRR abs/2011.00620 (2020) - [i52]Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi:
Edited Media Understanding: Reasoning About Implications of Manipulated Images. CoRR abs/2012.04726 (2020) - [i51]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR abs/2012.08012 (2020) - [i50]Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. CoRR abs/2012.15738 (2020)
2010 – 2019
- 2019
- [j7]Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. Trans. Assoc. Comput. Linguistics 7: 217-231 (2019) - [c84]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c83]Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith:
The Risk of Racial Bias in Hate Speech Detection. ACL (1) 2019: 1668-1678 - [c82]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. ACL (1) 2019: 4762-4779 - [c81]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800 - [c80]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. ACL (1) 2019: 5427-5436 - [c79]Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CogSci 2019: 1753-1759 - [c78]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CVPR 2019: 6720-6731 - [c77]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c76]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c75]Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. EMNLP/IJCNLP (1) 2019: 2391-2401 - [c74]Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. EMNLP/IJCNLP (1) 2019: 3750-3759 - [c73]Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
Social IQa: Commonsense Reasoning about Social Interactions. EMNLP/IJCNLP (1) 2019: 4462-4472 - [c72]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) 2019: 5042-5052 - [c71]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
EARLY FUSION for Goal Directed Robotic Vision. IROS 2019: 1025-1031 - [c70]Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi:
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. NAACL-HLT (1) 2019: 2357-2367 - [c69]Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi:
Benchmarking Hierarchical Script Knowledge. NAACL-HLT (1) 2019: 4077-4085 - [c68]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. NeurIPS 2019: 9051-9062 - [i49]Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. CoRR abs/1902.00164 (2019) - [i48]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i47]Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
SocialIQA: Commonsense Reasoning about Social Interactions. CoRR abs/1904.09728 (2019) - [i46]Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. CoRR abs/1904.09751 (2019) - [i45]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i44]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i43]Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi:
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. CoRR abs/1905.13319 (2019) - [i42]Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi:
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. CoRR abs/1906.00138 (2019) - [i41]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. CoRR abs/1906.02738 (2019) - [i40]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. CoRR abs/1906.05317 (2019) - [i39]Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR abs/1907.01272 (2019) - [i38]Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale. CoRR abs/1907.10641 (2019) - [i37]Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CoRR abs/1908.02899 (2019) - [i36]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. CoRR abs/1908.05739 (2019) - [i35]Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. CoRR abs/1909.00277 (2019) - [i34]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. CoRR abs/1909.02244 (2019) - [i33]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. CoRR abs/1909.04076 (2019) - [i32]Peter West, Ari Holtzman, Jan Buys, Yejin Choi:
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. CoRR abs/1909.07405 (2019) - [i31]Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. CoRR abs/1910.02915 (2019) - [i30]Antoine Bosselut, Yejin Choi:
Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. CoRR abs/1911.03876 (2019) - [i29]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR abs/1911.03891 (2019) - [i28]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. CoRR abs/1911.11641 (2019) - 2018
- [c67]Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. AAAI 2018: 5028-5036 - [c66]Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. ACL (1) 2018: 87-96 - [c65]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. ACL (1) 2018: 463-473 - [c64]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. ACL (1) 2018: 1638-1649 - [c63]Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. ACL (1) 2018: 2289-2299 - [c62]Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi:
Neural Motifs: Scene Graph Parsing With Global Context. CVPR 2018: 5831-5840 - [c61]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. EMNLP 2018: 93-104 - [c60]Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer:
Neural Metaphor Detection in Context. EMNLP 2018: 607-613 - [c59]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. EMNLP 2018: 2174-2184 - [c58]Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. ICLR (Poster) 2018 - [c57]Marjan Ghazvininejad, Yejin Choi, Kevin Knight:
Neural Poetry Translation. NAACL-HLT (2) 2018: 67-71 - [c56]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) 2018: 96-100 - [c55]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT 2018: 173-184 - [c54]Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. NAACL-HLT 2018: 1662-1675 - [i27]Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. CoRR abs/1803.10357 (2018) - [i26]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR abs/1804.10202 (2018) - [i25]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR abs/1805.03766 (2018) - [i24]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. CoRR abs/1805.06087 (2018) - [i23]Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. CoRR abs/1805.06533 (2018) - [i22]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. CoRR abs/1805.06939 (2018) - [i21]Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha S. Srinivasa:
Balancing Shared Autonomy with Human-Robot Communication. CoRR abs/1805.07719 (2018) - [i20]Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. CoRR abs/1807.04905 (2018) - [i19]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. CoRR abs/1808.05326 (2018) - [i18]Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC : Question Answering in Context. CoRR abs/1808.07036 (2018) - [i17]Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer:
Neural Metaphor Detection in Context. CoRR abs/1808.09653 (2018) - [i16]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. CoRR abs/1811.00146 (2018) - [i15]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
Early Fusion for Goal Directed Robotic Vision. CoRR abs/1811.08824 (2018) - [i14]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CoRR abs/1811.10830 (2018) - 2017
- [c53]Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer:
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. ACL (1) 2017: 146-157 - [c52]Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. ACL (1) 2017: 266-276 - [c51]Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova:
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. ACL (2) 2017: 459-464 - [c50]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoNLL 2017: 15-25 - [c49]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
Story Cloze Task: UW NLP System. LSDSem@EACL 2017: 52-55 - [c48]Rowan Zellers, Yejin Choi:
Zero-Shot Activity Recognition with Verb Attribute Induction. EMNLP 2017: 946-958 - [c47]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. EMNLP 2017: 1830-1839 - [c46]Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi:
Connotation Frames of Power and Agency in Modern Films. EMNLP 2017: 2329-2334 - [c45]Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi:
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. EMNLP 2017: 2931-2937 - [i13]Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith:
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. CoRR abs/1702.01841 (2017) - [i12]Yanging Chen, Rami Al-Rfou', Yejin Choi:
Detecting English Writing Styles For Non Native Speakers. CoRR abs/1704.07441 (2017) - [i11]Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer:
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. CoRR abs/1704.08381 (2017) - [i10]Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. CoRR abs/1706.03799 (2017) - [i9]Rowan Zellers, Yejin Choi:
Zero-Shot Activity Recognition with Verb Attribute Induction. CoRR abs/1707.09468 (2017) - [i8]Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith:
Dynamic Entity Representations in Neural Language Models. CoRR abs/1708.00781 (2017) - [i7]Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. CoRR abs/1711.05313 (2017) - [i6]Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi:
Neural Motifs: Scene Graph Parsing with Global Context. CoRR abs/1711.06640 (2017) - [i5]Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. CoRR abs/1712.03463 (2017) - 2016
- [j6]Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
Learning to name objects. Commun. ACM 59(3): 108-115 (2016) - [j5]Haris Aziz, Elias Bareinboim, Yejin Choi, Daniel J. Hsu, Shivaram Kalyanakrishnan, Reshef Meir, Suchi Saria, Gerardo I. Simari, Lirong Xia, William Yeoh:
AI's 10 to Watch. IEEE Intell. Syst. 31(1): 56-66 (2016) - [j4]Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni, Margaret Mitchell, Kota Yamaguchi, Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa C. Mensch, Hal Daumé III, Alexander C. Berg, Yejin Choi, Tamara L. Berg:
Large Scale Retrieval and Generation of Image Descriptions. Int. J. Comput. Vis. 119(1): 46-59 (2016) - [c44]Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. AAAI 2016: 3449-3456 - [c43]Antoine Bosselut, Jianfu Chen, David Scott Warren, Hannaneh Hajishirzi, Yejin Choi:
Learning Prototypical Event Structure from Photo Albums. ACL (1) 2016 - [c42]Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi:
Document-level Sentiment Inference with Social, Faction, and Discourse Context. ACL (1) 2016 - [c41]Hannah Rashkin, Sameer Singh, Yejin Choi:
Connotation Frames: A Data-Driven Investigation. ACL (1) 2016 - [c40]Chloé Kiddon, Luke Zettlemoyer, Yejin Choi:
Globally Coherent Text Generation with Neural Checklist Models. EMNLP 2016: 329-339 - [c39]Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight:
Generating Topical Poetry. EMNLP 2016: 1183-1191 - [c38]Yejin Choi:
Sketch-to-Text Generation: Toward Contextual, Creative, and Coherent Composition. INLG 2016: 40 - [i4]Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. CoRR abs/1602.00753 (2016) - 2015
- [j3]Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
Predicting Entry-Level Categories. Int. J. Comput. Vis. 115(1): 29-43 (2015) - [c37]Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi:
Refer-to-as Relations as Semantic Knowledge. AAAI 2015: 2160-2166 - [c36]Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi:
Mise en Place: Unsupervised Interpretation of Instructional Recipes. EMNLP 2015: 982-992 - [c35]Kenton Lee, Yoav Artzi, Yejin Choi, Luke Zettlemoyer:
Event Detection and Factuality Assessment with Non-Expert Supervision. EMNLP 2015: 1643-1648 - [c34]Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi:
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. ICCV 2015: 10-18 - [c33]Jianfu Chen, Polina Kuznetsova, David Scott Warren, Yejin Choi:
Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition. HLT-NAACL 2015: 504-514 - [c32]Ritwik Banerjee, Abbas Razaghpanah, Luis Chiang, Akassh Mishra, Vyas Sekar, Yejin Choi, Phillipa Gill:
Internet Outages, the Eyewitness Accounts: Analysis of the Outages Mailing List. PAM 2015: 206-219 - [i3]Hannah Rashkin, Sameer Singh, Yejin Choi:
Connotation Frames: Typed Relations of Implied Sentiment in Predicate-Argument Structure. CoRR abs/1506.02739 (2015) - [i2]Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Yejin Choi, Ali Farhadi:
Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. CoRR abs/1509.08075 (2015) - 2014
- [j2]Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, Yejin Choi:
TREETALK: Composition and Compression of Trees for Image Descriptions. Trans. Assoc. Comput. Linguistics 2: 351-362 (2014) - [c31]Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi:
ConnotationWordNet: Learning Connotation over the Word+Sense Network. ACL (1) 2014: 1544-1554 - [c30]Ritwik Banerjee, Song Feng, Jun Seok Kang, Yejin Choi:
Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays. EMNLP 2014: 1469-1473 - 2013
- [j1]Girish Kulkarni, Visruth Premraj, Vicente Ordonez, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
BabyTalk: Understanding and Generating Simple Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2891-2903 (2013) - [c29]Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi:
Generalizing Image Captions for Image-Text Parallel Corpus. ACL (2) 2013: 790-796 - [c28]Song Feng, Jun Seok Kang, Polina Kuznetsova, Yejin Choi:
Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning. ACL (1) 2013: 1774-1784 - [c27]Polina Kuznetsova, Jianfu Chen, Yejin Choi:
Understanding and Quantifying Creativity in Lexical Composition. EMNLP 2013: 1246-1258 - [c26]Jun Seok Kang, Polina Kuznetsova, Michael Luca, Yejin Choi:
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews. EMNLP 2013: 1443-1448 - [c25]Vikas Ganjigunte Ashok, Song Feng, Yejin Choi:
Success with Style: Using Writing Style to Predict the Success of Novels. EMNLP 2013: 1753-1764 - [c24]Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
From Large Scale Image Categorization to Entry-Level Categories. ICCV 2013: 2768-2775 - 2012
- [c23]Song Feng, Ritwik Banerjee, Yejin Choi:
Syntactic Stylometry for Deception Detection. ACL (2) 2012: 171-175 - [c22]Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi:
Collective Generation of Natural Image Descriptions. ACL (1) 2012: 359-368 - [c21]Song Feng, Ritwik Banerjee, Yejin Choi:
Characterizing Stylistic Elements in Syntactic Structure. EMNLP-CoNLL 2012: 1522-1533 - [c20]Song Feng, Longfei Xing, Anupam Gogar, Yejin Choi:
Distributional Footprints of Deceptive Product Reviews. ICWSM 2012 - [c19]Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daumé III, Alexander C. Berg, Tamara L. Berg:
Detecting Visual Text. HLT-NAACL 2012: 762-772 - 2011
- [c18]Manoj Harpalani, Michael Hart, Sandesh Signh, Rob Johnson, Yejin Choi:
Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis. ACL (2) 2011: 83-88 - [c17]Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Hancock:
Finding Deceptive Opinion Spam by Any Stretch of the Imagination. ACL 2011: 309-319 - [c16]Ruchita Sarawgi, Kailash Gajulapalli, Yejin Choi:
Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre. CoNLL 2011: 78-86 - [c15]Siming Li, Girish Kulkarni, Tamara L. Berg, Alexander C. Berg, Yejin Choi:
Composing Simple Image Descriptions using Web-scale N-grams. CoNLL 2011: 220-228 - [c14]Girish Kulkarni, Visruth Premraj, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, Tamara L. Berg:
Baby talk: Understanding and generating simple image descriptions. CVPR 2011: 1601-1608 - [c13]Song Feng, Ritwik Bose, Yejin Choi:
Learning General Connotation of Words using Graph-based Algorithms. EMNLP 2011: 1092-1103 - [c12]Rohith Menon, Yejin Choi:
Domain Independent Authorship Attribution without Domain Adaptation. RANLP 2011: 309-315 - [i1]Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Hancock:
Finding Deceptive Opinion Spam by Any Stretch of the Imagination. CoRR abs/1107.4557 (2011) - 2010
- [b1]Ye Jin Choi:
Fine-Grained Opinion Analysis: Structure-aware Appraoches. Cornell University, USA, 2010 - [c11]Yejin Choi, Claire Cardie:
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes. ACL (2) 2010: 269-274 - [c10]Ainur Yessenalina, Yejin Choi, Claire Cardie:
Automatically Generating Annotator Rationales to Improve Sentiment Classification. ACL (2) 2010: 336-341 - [c9]Yejin Choi, Marcus Fontoura, Evgeniy Gabrilovich, Vanja Josifovski, Maurício R. Mediano, Bo Pang:
Using landing pages for sponsored search ad selection. WWW 2010: 251-260
2000 – 2009
- 2009
- [c8]Yejin Choi, Claire Cardie:
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification. EMNLP 2009: 590-598 - 2008
- [c7]Yejin Choi, Claire Cardie:
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis. EMNLP 2008: 793-801 - 2007
- [c6]Eric Breck, Yejin Choi, Claire Cardie:
Identifying Expressions of Opinion in Context. IJCAI 2007: 2683-2688 - [c5]Yejin Choi, Claire Cardie:
Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution. HLT-NAACL 2007: 65-72 - [c4]Eric Breck, Yejin Choi, Veselin Stoyanov, Claire Cardie:
Cornell System Description for the NTCIR-6 Opinion Task. NTCIR 2007 - 2006
- [c3]Yejin Choi, Eric Breck, Claire Cardie:
Joint Extraction of Entities and Relations for Opinion Recognition. EMNLP 2006: 431-439 - 2005
- [c2]Theresa Wilson, Paul Hoffmann, Swapna Somasundaran, Jason Kessler, Janyce Wiebe, Yejin Choi, Claire Cardie, Ellen Riloff, Siddharth Patwardhan:
OpinionFinder: A System for Subjectivity Analysis. HLT/EMNLP 2005: 34-35 - [c1]Yejin Choi, Claire Cardie, Ellen Riloff, Siddharth Patwardhan:
Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. HLT/EMNLP 2005: 355-362
Coauthor Index
[c214] [c205] [c202] [c196] [c193] [c189] [c179] [c177] [i175] [i173] [i172] [i167] [i164] [i157] [i147] [i145] [c167] [c166] [c148] [i142] [i140] [i132] [i131] [i115] [i113] [j8] [c140] [c137] [c135] [c133] [c132] [c129] [c121] [c117] [c116] [c112] [i108] [i101] [i99] [i98] [i94] [i84] [i83] [c109] [c107] [c102] [c99] [c97] [c96] [c95] [c94] [c91] [c90] [c87] [c85] [i73] [i69] [i67] [i66] [i61] [i60] [i59] [i58] [i57] [i55] [c84] [c75] [c72] [i38] [i36] [i35] [i33] [i31] [i16]
[c208] [c205] [c204] [c200] [c197] [c193] [c186] [c184] [c179] [c178] [i176] [i173] [i170] [i169] [i159] [i149] [i145] [c171] [c166] [c165] [c163] [c154] [c153] [c152] [c148] [i142] [i136] [i133] [i131] [i130] [i126] [i120] [i115] [i112] [j8] [c141] [c140] [c137] [c136] [c135] [c127] [c123] [c121] [c118] [c117] [c112] [c111] [i109] [i101] [i100] [i98] [i96] [i84] [i83] [i82] [i79] [i78] [i75] [c108] [c107] [c97] [c96] [c94] [c91] [c90] [c87] [c85] [i73] [i69] [i66] [i64] [i61] [i60] [i59] [i58] [i55] [i50] [c84] [c75] [c73] [i47] [i38] [i36] [i35] [i28] [i16]
Hannaneh Hajishirzi
aka: Hanna Hajishirzi
aka: Hanna Hajishirzi
Bill Y. Lin
aka: Bill Yuchen Lin
aka: Bill Yuchen Lin
[c214] [i197] [i195] [i190] [c205] [c202] [c197] [c193] [c191] [c190] [c186] [c181] [c179] [c176] [i178] [i177] [i173] [i167] [i164] [i155] [i154] [i152] [i151] [i147] [i146] [i145] [c171] [c168] [c164] [c163] [c159] [c154] [c149] [c148] [c145] [c143] [i144] [i133] [i130] [i129] [i128] [i127] [i123] [i118] [i115] [i113] [i112] [c133] [c132] [c129] [c127] [c117] [c110] [i109] [i108] [i94] [i92] [i84] [i82] [i75] [i74] [i57] [i55]
[c214] [c213] [i189] [c212] [c200] [c186] [c184] [i179] [i176] [i167] [i159] [i156] [c172] [c165] [c164] [c147] [c146] [i143] [i134] [i129] [i120] [i112] [i111] [c129] [c124] [i105] [i95] [i94] [i83] [i80] [c106] [c105] [c104] [c98] [c93] [c89] [i62] [i54] [i53] [c84] [c83] [c82] [c73] [i47] [i40] [i29] [c65] [c63] [c56] [i26] [i23] [i22] [i16] [c50] [c49] [c46] [i13]
[i199] [c195] [c192] [c178] [i184] [i182] [c169] [c163] [c160] [c157] [c154] [c153] [c152] [c147] [i143] [i141] [i136] [i135] [i133] [i126] [c129] [c124] [i106] [i105] [i94] [i89] [i80] [i79] [i78] [i75] [c105] [c104] [c94] [c93] [c90] [c88] [i72] [i63] [i62] [i58] [c84] [c83] [c76] [i34] [i29] [c65] [c56] [i26] [i22] [i16] [c50] [c49] [c47] [i13] [i8]
[c214] [i190] [c205] [c201] [c195] [c193] [c191] [c186] [c181] [c179] [c176] [i184] [i178] [i177] [i173] [i171] [i167] [i155] [i146] [i145] [c174] [c171] [c170] [c158] [c154] [c148] [c145] [i137] [i127] [i119] [i118] [i115] [c132] [c120] [c117] [i97] [i85] [i84] [i82] [i75] [c97] [c91] [i69] [i60] [i57] [i55] [c74] [i32]
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 01:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
