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- 2024
[c95]Anisha Gunjal, Greg Durrett:
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. EMNLP (Findings) 2024: 3751-3768- [c94]Liyan Tang, Philippe Laban, Greg Durrett:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. EMNLP 2024: 8818-8847 - [c93]Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett:
Learning to Refine with Fine-Grained Natural Language Feedback. EMNLP (Findings) 2024: 12281-12308 - [c92]Abhishek Divekar, Greg Durrett:
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. EMNLP 2024: 19200-19227 - [c91]Yating Wu, Ritika Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li:
Which questions should I answer? Salience Prediction of Inquisitive Questions. EMNLP 2024: 19969-19987 - [c90]Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. ICLR 2024 - [c89]Jiayi Wei, Greg Durrett, Isil Dillig:
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing. ICLR 2024 - [c88]Juan Diego Rodriguez, Katrin Erk, Greg Durrett:
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. NAACL-HLT 2024: 1198-1222 - [c87]Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi:
Complex Claim Verification with Evidence Retrieved in the Wild. NAACL-HLT 2024: 3569-3587 - [i101]Liyan Tang, Philippe Laban, Greg Durrett:
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR abs/2404.10774 (2024) - [i100]Yating Wu, Ritika Mangla, Alexandros G. Dimakis, Greg Durrett, Junyi Jessy Li:
Which questions should I answer? Salience Prediction of Inquisitive Questions. CoRR abs/2404.10917 (2024) - [i99]Prasann Singhal, Nathan Lambert, Scott Niekum, Tanya Goyal, Greg Durrett:
D2PO: Discriminator-Guided DPO with Response Evaluation Models. CoRR abs/2405.01511 (2024) - [i98]Abhishek Divekar, Greg Durrett:
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation. CoRR abs/2405.10040 (2024) - [i97]Fangcong Yin, Xi Ye, Greg Durrett:
LoFiT: Localized Fine-tuning on LLM Representations. CoRR abs/2406.01563 (2024) - [i96]Thom Lake, Eunsol Choi, Greg Durrett:
From Distributional to Overton Pluralism: Investigating Large Language Model Alignment. CoRR abs/2406.17692 (2024) - [i95]Anisha Gunjal, Greg Durrett:
Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification. CoRR abs/2406.20079 (2024) - [i94]Manya Wadhwa, Xinyu Zhao, Junyi Jessy Li, Greg Durrett:
Learning to Refine with Fine-Grained Natural Language Feedback. CoRR abs/2407.02397 (2024) - [i93]Zeyu Leo Liu, Shrey Pandit, Xi Ye, Eunsol Choi, Greg Durrett:
CodeUpdateArena: Benchmarking Knowledge Editing on API Updates. CoRR abs/2407.06249 (2024) - [i92]Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, Greg Durrett:
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning. CoRR abs/2409.12183 (2024) - [i91]Aniruddh Sriram, Fangyuan Xu, Eunsol Choi, Greg Durrett:
Contrastive Learning to Improve Retrieval for Real-world Fact Checking. CoRR abs/2410.04657 (2024) - [i90]Xinyu Zhao, Fangcong Yin, Greg Durrett:
Understanding Synthetic Context Extension via Retrieval Heads. CoRR abs/2410.22316 (2024) - 2023
- [j6]Liyan Tang, Zhaoyi Sun
, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng:
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023) - [j5]Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig:
Data Extraction via Semantic Regular Expression Synthesis. Proc. ACM Program. Lang. 7(OOPSLA2): 1848-1877 (2023) - [c86]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. ACL (Findings) 2023: 4469-4484 - [c85]Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi:
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. ACL (1) 2023: 5469-5485 - [c84]Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett:
Prompted Opinion Summarization with GPT-3.5. ACL (Findings) 2023: 9282-9300 - [c83]Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. ACL (1) 2023: 9299-9316 - [c82]Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li:
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. ACL (Findings) 2023: 11181-11195 - [c81]Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett:
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) 2023: 11626-11644 - [c80]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) 2023: 12532-12555 - [c79]Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick:
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoNLL 2023: 403-413 - [c78]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. EACL 2023: 132-146 - [c77]Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett:
Assessing Out-of-Domain Language Model Performance from Few Examples. EACL 2023: 2377-2389 - [c76]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL 2023: 2460-2475 - [c75]Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian:
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 2023: 328-335 - [c74]Xi Ye, Greg Durrett:
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting. EMNLP 2023: 619-637 - [c73]Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li:
QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing. EMNLP 2023: 5344-5363 - [c72]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. EMNLP 2023: 7561-7583 - [c71]Jiayi Wei, Greg Durrett, Isil Dillig:
TypeT5: Seq2seq Type Inference using Static Analysis. ICLR 2023 - [c70]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. NeurIPS 2023 - [c69]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting. NeurIPS 2023 - [i89]Xi Ye, Greg Durrett:
Explanation Selection Using Unlabeled Data for In-Context Learning. CoRR abs/2302.04813 (2023) - [i88]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR abs/2302.07139 (2023) - [i87]Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, Greg Durrett:
WiCE: Real-World Entailment for Claims in Wikipedia. CoRR abs/2303.01432 (2023) - [i86]Jiayi Wei, Greg Durrett, Isil Dillig:
TypeT5: Seq2seq Type Inference using Static Analysis. CoRR abs/2303.09564 (2023) - [i85]Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi:
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. CoRR abs/2305.01651 (2023) - [i84]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Satisfiability-Aided Language Models Using Declarative Prompting. CoRR abs/2305.09656 (2023) - [i83]Qiaochu Chen, Arko Banerjee, Çagatay Demiralp, Greg Durrett, Isil Dillig:
Data Extraction via Semantic Regular Expression Synthesis. CoRR abs/2305.10401 (2023) - [i82]Jifan Chen, Grace Kim, Aniruddh Sriram, Greg Durrett, Eunsol Choi:
Complex Claim Verification with Evidence Retrieved in the Wild. CoRR abs/2305.11859 (2023) - [i81]Manya Wadhwa, Jifan Chen, Junyi Jessy Li, Greg Durrett:
Using Natural Language Explanations to Rescale Human Judgments. CoRR abs/2305.14770 (2023) - [i80]Anisha Gunjal, Greg Durrett:
Drafting Event Schemas using Language Models. CoRR abs/2305.14847 (2023) - [i79]Jiayi Wei, Greg Durrett, Isil Dillig:
Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing. CoRR abs/2305.18584 (2023) - [i78]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - [i77]Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. CoRR abs/2306.00947 (2023) - [i76]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. CoRR abs/2306.09306 (2023) - [i75]Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Deductive Additivity for Planning of Natural Language Proofs. CoRR abs/2307.02472 (2023) - [i74]Juan Diego Rodriguez, Katrin Erk, Greg Durrett:
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs. CoRR abs/2309.08873 (2023) - [i73]Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett:
A Long Way to Go: Investigating Length Correlations in RLHF. CoRR abs/2310.03716 (2023) - [i72]Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li:
QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing. CoRR abs/2310.14520 (2023) - [i71]Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning. CoRR abs/2310.16049 (2023) - [i70]Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick:
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR abs/2312.04510 (2023) - 2022
- [j4]Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig:
Automated transpilation of imperative to functional code using neural-guided program synthesis. Proc. ACM Program. Lang. 6(OOPSLA1): 1-27 (2022) - [j3]Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig:
Type-directed synthesis of visualizations from natural language queries. Proc. ACM Program. Lang. 6(OOPSLA2): 532-559 (2022) - [c68]Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett:
Training Dynamics for Text Summarization Models. ACL (Findings) 2022: 2061-2073 - [c67]Xi Ye, Greg Durrett:
Can Explanations Be Useful for Calibrating Black Box Models? ACL (1) 2022: 6199-6212 - [c66]Ojas Ahuja, Jiacheng Xu, Akshay Gupta, Kevin Horecka, Greg Durrett:
ASPECTNEWS: Aspect-Oriented Summarization of News Documents. ACL (1) 2022: 6494-6506 - [c65]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c64]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation. EMNLP (Demos) 2022: 351-358 - [c63]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
SNaC: Coherence Error Detection for Narrative Summarization. EMNLP 2022: 444-463 - [c62]Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett:
Generating Literal and Implied Subquestions to Fact-check Complex Claims. EMNLP 2022: 3495-3516 - [c61]Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction through Search over Statement Compositions. EMNLP (Findings) 2022: 4871-4883 - [c60]Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction with Incomplete Information. EMNLP 2022: 8230-8258 - [c59]Wei-Jen Ko, Cutter Dalton, Mark Simmons, Eliza Fisher, Greg Durrett, Junyi Jessy Li:
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections. EMNLP 2022: 11752-11764 - [c58]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) 2022: 693-702 - [c57]Jiacheng Xu, Siddhartha Jonnalagadda, Greg Durrett:
Massive-scale Decoding for Text Generation using Lattices. NAACL-HLT 2022: 4659-4676 - [c56]Xi Ye, Greg Durrett:
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning. NeurIPS 2022 - [i69]Kaj Bostrom, Zayne Sprague, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction through Search over Statement Compositions. CoRR abs/2201.06028 (2022) - [i68]Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig:
Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version). CoRR abs/2203.09452 (2022) - [i67]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR abs/2205.02832 (2022) - [i66]Xi Ye, Greg Durrett:
The Unreliability of Explanations in Few-Shot In-Context Learning. CoRR abs/2205.03401 (2022) - [i65]Jifan Chen, Aniruddh Sriram, Eunsol Choi, Greg Durrett:
Generating Literal and Implied Subquestions to Fact-check Complex Claims. CoRR abs/2205.06938 (2022) - [i64]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
SNaC: Coherence Error Detection for Narrative Summarization. CoRR abs/2205.09641 (2022) - [i63]Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett:
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR abs/2205.12854 (2022) - [i62]Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig:
Type-Directed Synthesis of Visualizations from Natural Language Queries. CoRR abs/2209.01081 (2022) - [i61]Tanya Goyal, Junyi Jessy Li, Greg Durrett:
News Summarization and Evaluation in the Era of GPT-3. CoRR abs/2209.12356 (2022) - [i60]Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett, Junyi Jessy Li:
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion. CoRR abs/2210.05905 (2022) - [i59]Prasann Singhal, Jarad Forristal, Xi Ye, Greg Durrett:
Assessing Out-of-Domain Language Model Performance from Few Examples. CoRR abs/2210.06725 (2022) - [i58]Ryo Kamoi, Tanya Goyal, Greg Durrett:
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization. CoRR abs/2210.06748 (2022) - [i57]Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction with Incomplete Information. CoRR abs/2211.00614 (2022) - [i56]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. CoRR abs/2211.13892 (2022) - [i55]Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett:
Zero-Shot Opinion Summarization with GPT-3. CoRR abs/2211.15914 (2022) - 2021
- [c55]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. ACL/IJCNLP (2) 2021: 599-604 - [c54]Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. ACL/IJCNLP (1) 2021: 2051-2064 - [c53]Jiacheng Xu, Greg Durrett:
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. ACL/IJCNLP (1) 2021: 6925-6940 - [c52]Shih-Ting Lin, Nathanael Chambers, Greg Durrett:
Conditional Generation of Temporally-ordered Event Sequences. ACL/IJCNLP (1) 2021: 7142-7157 - [c51]Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. EACL (Student Research Workshop) 2021: 50-57 - [c50]Xi Ye, Qiaochu Chen, Isil Dillig, Greg Durrett:
Optimal Neural Program Synthesis from Multimodal Specifications. EMNLP (Findings) 2021: 1691-1704 - [c49]Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? EMNLP (Findings) 2021: 3841-3854 - [c48]Xi Ye, Rohan Nair, Greg Durrett:
Connecting Attributions and QA Model Behavior on Realistic Counterfactuals. EMNLP (1) 2021: 5496-5512 - [c47]Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett:
Flexible Generation of Natural Language Deductions. EMNLP (1) 2021: 6266-6278 - [c46]Jifan Chen, Greg Durrett:
Robust Question Answering Through Sub-part Alignment. NAACL-HLT 2021: 1251-1263 - [c45]Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. NAACL-HLT 2021: 1449-1462 - [c44]Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Did they answer? Subjective acts and intents in conversational discourse. NAACL-HLT 2021: 1626-1644 - [c43]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. NeurIPS Datasets and Benchmarks 2021 - [c42]Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig:
Web question answering with neurosymbolic program synthesis. PLDI 2021: 328-343 - [i54]Yasumasa Onoe, Michael Boratko, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. CoRR abs/2101.00345 (2021) - [i53]Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. CoRR abs/2102.03016 (2021) - [i52]Tanya Goyal, Greg Durrett:
Annotating and Modeling Fine-grained Factuality in Summarization. CoRR abs/2104.04302 (2021) - [i51]Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk:
Did they answer? Subjective acts and intents in conversational discourse. CoRR abs/2104.04470 (2021) - [i50]Xi Ye, Rohan Nair, Greg Durrett:
Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals. CoRR abs/2104.04515 (2021) - [i49]Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang, Greg Durrett, Osbert Bastani, Isil Dillig:
Web Question Answering with Neurosymbolic Program Synthesis. CoRR abs/2104.07162 (2021) - [i48]Jifan Chen, Eunsol Choi, Greg Durrett:
Can NLI Models Verify QA Systems' Predictions? CoRR abs/2104.08731 (2021) - [i47]Kaj Bostrom, Xinyu Zhao, Swarat Chaudhuri, Greg Durrett:
Flexible Operations for Natural Language Deduction. CoRR abs/2104.08825 (2021) - [i46]Jiacheng Xu, Greg Durrett:
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution. CoRR abs/2106.01518 (2021) - [i45]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. CoRR abs/2109.01653 (2021) - [i44]Xi Ye, Greg Durrett:
Can Explanations Be Useful for Calibrating Black Box Models? CoRR abs/2110.07586 (2021) - [i43]Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett:
Making Document-Level Information Extraction Right for the Right Reasons. CoRR abs/2110.07686 (2021) - [i42]Nila Selvaraj, Yasumasa Onoe, Greg Durrett:
Cross-Lingual Fine-Grained Entity Typing.