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2020 – today
- 2024
[c45]Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel:
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. ACL (Findings) 2024: 11700-11726- [c44]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. ACL (Findings) 2024: 12935-12948 - [c43]Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. ACL (1) 2024: 15789-15809 - [c42]Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu:
[inline-graphic not available: see fulltext] FunQA: Towards Surprising Video Comprehension. ECCV (1) 2024: 39-57 - [c41]Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu:
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. EMNLP 2024: 2423-2451 - [c40]Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. EMNLP (Findings) 2024: 13060-13077 - [c39]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. ICLR 2024 - [c38]Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng:
WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR 2024 - [c37]Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr:
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. NAACL-HLT 2024: 8487-8505 - [i50]Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia
, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - [i49]Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel:
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. CoRR abs/2402.03284 (2024) - [i48]Yutaro Yamada, Khyathi Raghavi 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) - [i47]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) - [i46]Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng:
WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR abs/2405.01470 (2024) - [i45]Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu:
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding. CoRR abs/2406.18925 (2024) - [i44]Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR abs/2407.00369 (2024) - [i43]Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi:
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. CoRR abs/2407.01942 (2024) - [i42]Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi:
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR abs/2407.12043 (2024) - [i41]Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi:
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. CoRR abs/2409.03753 (2024) - [i40]Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel:
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. CoRR abs/2409.11136 (2024) - 2023
- [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 2023: 1127-1149 - [c31]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders bottleneck compositionality in contrastive vision-language models. EMNLP 2023: 4933-4944 - [c30]Amita Kamath, Jack Hessel, Kai-Wei Chang:
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. EMNLP 2023: 9161-9175 - [c29]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 - [c28]Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz:
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. ICCV 2023: 2616-2627 - [c27]Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu:
Champagne: Learning Real-world Conversation from Large-Scale Web Videos. ICCV 2023: 15452-15463 - [c26]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 - [c25]Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt:
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS 2023 - [c24]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. NeurIPS 2023 - [c23]Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi:
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. NeurIPS 2023 - [c22]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 - [i39]Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz:
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. CoRR abs/2303.07274 (2023) - [i38]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) - [i37]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) - [i36]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders are performance bottlenecks in contrastive vision-language models. CoRR abs/2305.14897 (2023) - [i35]Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi:
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR abs/2306.04751 (2023) - [i34]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) - [i33]Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu:
FunQA: Towards Surprising Video Comprehension. CoRR abs/2306.14899 (2023) - [i32]Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt:
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. CoRR abs/2308.01390 (2023) - [i31]Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt:
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR abs/2308.06595 (2023) - [i30]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) - [i29]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) - [i28]Amita Kamath, Jack Hessel, Kai-Wei Chang:
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. CoRR abs/2310.19785 (2023) - [i27]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) - [i26]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) - [i25]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) - [i24]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR abs/2312.05979 (2023) - 2022
- [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - 2021
- [c15]Jack Hessel, Alexandra Schofield:
How effective is BERT without word ordering? Implications for language understanding and data privacy. ACL/IJCNLP (2) 2021: 204-211 - [c14]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 - [c13]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 - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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
- [c12]Jack Hessel, Lillian Lee:
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! EMNLP (1) 2020: 861-877 - [c11]Gregory Yauney, Jack Hessel, David Mimno:
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. EMNLP (1) 2020: 2039-2045 - [c10]Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut:
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. EMNLP (1) 2020: 8812-8822 - [i11]Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut:
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. CoRR abs/2004.14338 (2020) - [i10]Jack Hessel, Lillian Lee:
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think! CoRR abs/2010.06572 (2020) - [i9]Gregory Yauney, Jack Hessel, David Mimno:
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents. CoRR abs/2010.16363 (2020)
2010 – 2019
- 2019
- [c9]Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut:
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. CoNLL 2019: 419-429 - [c8]Jack Hessel, Lillian Lee, David Mimno:
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. EMNLP/IJCNLP (1) 2019: 2034-2045 - [c7]Jack Hessel, Lillian Lee:
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. NAACL-HLT (1) 2019: 1648-1659 - [i8]Jack Hessel, Lillian Lee:
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. CoRR abs/1904.07372 (2019) - [i7]Jack Hessel, Lillian Lee, David Mimno:
Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents. CoRR abs/1904.07826 (2019) - [i6]Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut:
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. CoRR abs/1910.02930 (2019) - 2018
- [c6]Jack Hessel, David M. Mimno, Lillian Lee:
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets. NAACL-HLT 2018: 2194-2205 - [i5]Jack Hessel, David M. Mimno, Lillian Lee:
Quantifying the visual concreteness of words and topics in multimodal datasets. CoRR abs/1804.06786 (2018) - 2017
- [c5]Jack Hessel, Lillian Lee, David M. Mimno:
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. WWW 2017: 927-936 - [i4]Jack Hessel, Lillian Lee, David M. Mimno:
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity. CoRR abs/1703.01725 (2017) - 2016
- [c4]Jack Hessel, Chenhao Tan, Lillian Lee:
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. ICWSM 2016: 171-180 - [i3]Jack Hessel, Chenhao Tan, Lillian Lee:
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities. CoRR abs/1612.07487 (2016) - 2015
- [c3]Jack Hessel, Nicolas Savva, Michael J. Wilber:
Image Representations and New Domains in Neural Image Captioning. VL@EMNLP 2015: 29-39 - [i2]Jack Hessel, Nicolas Savva, Michael J. Wilber:
Image Representations and New Domains in Neural Image Captioning. CoRR abs/1508.02091 (2015) - [i1]Jack Hessel, Alexandra Schofield, Lillian Lee, David M. Mimno:
What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks. CoRR abs/1511.03371 (2015) - 2013
- [c2]Jack Hessel, Sherri Goings:
Using Reproductive Altruism to Evolve Multicellularity in Digital Organisms. ECAL 2013: 1091-1098 - [c1]Jack Hessel, Sherri Goings:
Evolving multicellularity in digital organisms through reproductive altruism. GECCO (Companion) 2013: 1707-1710
Coauthor Index
[c44] [c40] [c39] [c38] [c37] [i48] [i47] [i46] [i44] [i43] [i42] [i41] [c36] [c35] [c34] [c33] [c32] [c29] [c27] [c26] [c24] [c22] [i38] [i37] [i34] [i30] [i29] [i27] [i26] [i25] [i24] [c21] [c20] [c19] [c18] [c17] [c16] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [c14] [c13] [i16] [i15] [i14] [i13] [i12]
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