---
title: "Yejin Choi — all works — Elamur Research"
description: "All 163 works of Yejin Choi in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yejin-choi/works/"
---
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# Yejin Choi — all works

163 works · page 1 of 2 · 1–100 · [← Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/)

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1. [**The Curious Case of Neural Text Degeneration arXiv:1904.09751**Ari Holtzman, Jan Buys, Li Du, et al.*2019 · 2,660 citations*](https://md.research.elamur.ai/free/en/papers/holtzman-2019-curious-case-neural-text-degeneration/)
2. **[HellaSwag: Can a Machine Really Finish Your Sentence? ↗](https://aclanthology.org/P19-1472/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Rowan Zellers et al.*2019 · 2,580 citations*
3. **[WinoGrande: An Adversarial Winograd Schema Challenge at Scale ↗](https://arxiv.org/abs/1907.10641) arXiv:1907.10641 · no summary yet**Keisuke Sakaguchi et al.*2019 · 1,913 citations*
4. **[Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Xiujun Li, Xi Yin, Chunyuan Li, et al.*2020 · 1,877 citations*
5. **[CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jack Hessel, Ari Holtzman, Maxwell Forbes, et al.*2021 · 1,550 citations*
6. **[RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models](https://md.research.elamur.ai/free/en/papers/gehman-2020-realtoxicityprompts-evaluating-neural-toxic-degeneration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Samuel Gehman, Suchin Gururangan, Maarten Sap, et al.*2020 · 1,306 citations*
7. **[COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.*2019 · 1,294 citations*
8. **[PIQA: Reasoning about Physical Commonsense in Natural Language](https://md.research.elamur.ai/free/en/papers/bisk-2019-piqa-reasoning-about-physical-commonsense/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.*2019 · 1,264 citations*
9. **[The Risk of Racial Bias in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sap-2019-risk-racial-bias-hate-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Dallas Card, Saadia Gabriel, et al.*2019 · 1,164 citations*
10. **[Neural Motifs: Scene Graph Parsing with Global Context ↗](https://doi.org/10.1109/cvpr.2018.00611) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Rowan Zellers et al.*2018 · 1,096 citations*
11. **[Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.*2017 · 1,074 citations*
12. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,066 citations*
13. **[SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference ↗](https://aclanthology.org/D18-1009/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Rowan Zellers et al.*2018 · 1,058 citations*
14. **[From Recognition to Cognition: Visual Commonsense Reasoning ↗](https://arxiv.org/abs/1811.10830) arXiv:1811.10830 · no summary yet**Rowan Zellers et al.*2018 · 1,000 citations*
15. **[Social IQa: Commonsense Reasoning about Social Interactions ↗](https://aclanthology.org/D19-1454/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Maarten Sap et al.*2019 · 883 citations*
16. **[Finding Deceptive Opinion Spam by Any Stretch of the Imagination](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 813 citations*
17. **[Social Bias Frames: Reasoning about Social and Power Implications of Language](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 684 citations*
18. [**Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.*English · 544 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)
19. **[Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics ↗](https://aclanthology.org/2020.emnlp-main.746/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Swabha Swayamdipta et al.*2020 · 535 citations*
20. **[MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms](https://md.research.elamur.ai/free/en/papers/amini-2019-mathqa-interpretable-math-word-problem/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Aida Amini, Saadia Gabriel, Shanchuan Lin, et al.*2019 · 507 citations*
21. [**Defending Against Neural Fake News arXiv:1905.12616**Rowan Zellers, Ari Holtzman, Hannah Rashkin, et al.*2019 · 478 citations*](https://md.research.elamur.ai/free/en/papers/zellers-2019-defending-against-neural-fake-news/)
22. **[Deep Communicating Agents for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 440 citations*
23. **[Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns](https://md.research.elamur.ai/free/en/papers/choi-2005-identifying-sources-opinions-conditional-random/) [Human Language Technology Conference (HLT)](https://md.research.elamur.ai/free/en/venues/hlt/)**Yejin Choi, Claire Cardie, Ellen Riloff, et al.*2005 · 438 citations*
24. **[CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning ↗](https://aclanthology.org/2020.findings-emnlp.165/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Bill Yuchen Lin et al.*2020 · 437 citations*
25. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*Machine translation · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
26. **[DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts](https://md.research.elamur.ai/free/en/papers/liu-2021-dexperts-decoding-time-controlled-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alisa Liu, Maarten Sap, Ximing Lu, et al.*2021 · 409 citations*
27. **[Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/choi-2008-learning-compositional-semantics-as-structural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yejin Choi, Claire Cardie*2008 · 403 citations*
28. **[Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.*2022 · 367 citations*
29. **[Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Peter West, Chandra Bhagavatula, Jack Hessel, et al.*2022 · 349 citations*
30. **[DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension](https://md.research.elamur.ai/free/en/papers/sun-2019-dream-challenge-data-set-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Kai Sun, Dian Yu, Jianshu Chen, et al.*2019 · 334 citations*
31. **[Generated Knowledge Prompting for Commonsense Reasoning ↗](https://aclanthology.org/2022.acl-long.225/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jiacheng Liu et al.*2022 · 329 citations*
32. **[Social Chemistry 101: Learning to Reason about Social and Moral Norms ↗](https://aclanthology.org/2020.emnlp-main.48/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Maxwell Forbes et al.*2020 · 322 citations*
33. **[Unsupervised Commonsense Question Answering with Self-Talk ↗](https://aclanthology.org/2020.emnlp-main.373/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Vered Shwartz et al.*2020 · 322 citations*
34. [**WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation arXiv:2201.05955**Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.*2022 · 317 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-wanli-worker-ai-collaboration-natural/)
35. **[Ultra-Fine Entity Typing ↗](https://aclanthology.org/P18-1009/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Eunsol Choi et al.*2018 · 310 citations*
36. [**Abductive Commonsense Reasoning**Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.*English · 309 citations*](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/)
37. **[Globally Coherent Text Generation with Neural Checklist Models](https://md.research.elamur.ai/free/en/papers/kiddon-2016-globally-coherent-text-generation-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chloé Kiddon, Luke Zettlemoyer, Yejin Choi*2016 · 304 citations*
38. **[Learning to Write with Cooperative Discriminators](https://md.research.elamur.ai/free/en/papers/holtzman-2018-learning-write-cooperative-discriminators/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ari Holtzman, Jan Buys, Maxwell Forbes, et al.*2018 · 303 citations*
39. **[TreeTalk: Composition and Compression of Trees for Image Descriptions](https://md.research.elamur.ai/free/en/papers/kuznetsova-2014-treetalk-composition-compression-trees-image/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, et al.*2014 · 290 citations*
40. **[Surface Form Competition: Why the Highest Probability Answer Isn't Always Right](https://md.research.elamur.ai/free/en/papers/holtzman-2021-surface-form-competition-why-highest/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ari Holtzman, Peter West, Vered Shwartz, et al.*2021 · 277 citations*
41. **[Event2Mind: Commonsense Inference on Events, Intents, and Reactions ↗](https://aclanthology.org/P18-1043/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hannah Rashkin et al.*2018 · 270 citations*
42. [**SocialIQA: Commonsense Reasoning about Social Interactions arXiv:1904.09728**Maarten Sap, Hannah Rashkin, Derek Chen, et al.*2019 · 259 citations*](https://md.research.elamur.ai/free/en/papers/sap-2019-socialiqa-commonsense-reasoning-about-social/)
43. [**MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers arXiv:2102.01454**Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.*2021 · 251 citations*](https://md.research.elamur.ai/free/en/papers/pillutla-2021-mauve-measuring-gap-between-neural/)
44. **[Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.*2022 · 242 citations*
45. [**WildChat: 1M ChatGPT Interaction Logs in the Wild arXiv:2405.01470**Wenting Zhao, Xiang Ren, Jack Hessel, et al.*2024 · 239 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-wildchat-1m-chatgpt-interaction-logs/)
46. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*Mova's core list · 239 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
47. **[Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs ↗](https://aclanthology.org/2022.emnlp-main.248/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Maarten Sap et al.*2022 · 238 citations*
48. **[Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations](https://md.research.elamur.ai/free/en/papers/jung-2022-maieutic-prompting-logically-consistent-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jaehun Jung, Lianhui Qin, Sean Welleck, et al.*2022 · 219 citations*
49. **[PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking ↗](https://aclanthology.org/2020.emnlp-main.349/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hannah Rashkin et al.*2020 · 207 citations*
50. **[SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 202 citations*
51. **[Generative Data Augmentation for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2020-generative-data-augmentation-commonsense-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.*2020 · 198 citations*
52. **[Neural Metaphor Detection in Context](https://md.research.elamur.ai/free/en/papers/gao-2018-neural-metaphor-detection-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ge Gao, Eunsol Choi, Yejin Choi, et al.*2018 · 198 citations*
53. **[Challenges in Automated Debiasing for Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/zhou-2021-challenges-automated-debiasing-toxic-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.*2021 · 191 citations*
54. **[Generating Topical Poetry ↗](https://aclanthology.org/D16-1126/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Marjan Ghazvininejad et al.*2016 · 191 citations*
55. **[Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ↗](https://aclanthology.org/2021.emnlp-main.54/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Denis Emelin et al.*2021 · 188 citations*
56. **[Counterfactual Story Reasoning and Generation ↗](https://aclanthology.org/D19-1509/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Lianhui Qin et al.*2019 · 187 citations*
57. **[RealTime QA: What's the Answer Right Now?](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.*2022 · 181 citations*
58. **[The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task ↗](https://aclanthology.org/K17-1004/) Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) · no summary yet**Roy Schwartz et al.*2017 · 175 citations*
59. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
60. [**Generating Sequences by Learning to Self-Correct arXiv:2211.00053**Sean Welleck, Ximing Lu, Peter West, et al.*2022 · 172 citations*](https://md.research.elamur.ai/free/en/papers/welleck-2022-generating-sequences-learning-self-correct/)
61. **[Quark: Controllable Text Generation with Reinforced Unlearning](https://md.research.elamur.ai/free/en/papers/lu-2022-quark-controllable-text-generation-reinforced/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ximing Lu, Sean Welleck, Jack Hessel, et al.*2022 · 170 citations*
62. **[WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs](https://md.research.elamur.ai/free/en/papers/han-2024-wildguard-open-one-stop-moderation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Seungju Han, Kavel Rao, Allyson Ettinger, et al.*2024 · 165 citations*
63. **[Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text](https://md.research.elamur.ai/free/en/papers/dou-2022-is-gpt-3-text-indistinguishable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.*2022 · 152 citations*
64. **[ProsocialDialog: A Prosocial Backbone for Conversational Agents](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 152 citations*
65. [**The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning arXiv:2312.01552**Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/)
66. [**Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing arXiv:2406.08464**Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.*2024 · 148 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-magpie-alignment-data-synthesis-scratch/)
67. **[Modeling Naive Psychology of Characters in Simple Commonsense Stories ↗](https://aclanthology.org/P18-1213/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hannah Rashkin et al.*2018 · 144 citations*
68. **[Dynamic Entity Representations in Neural Language Models](https://md.research.elamur.ai/free/en/papers/ji-2017-dynamic-entity-representations-neural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yangfeng Ji, Chenhao Tan, Sebastian Martschat, et al.*2017 · 144 citations*
69. [**A Roadmap to Pluralistic Alignment arXiv:2402.05070**Taylor Sorensen, Jared Moore, Jillian Fisher, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/sorensen-2024-roadmap-pluralistic-alignment/)
70. **[Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 140 citations*
71. **[NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 140 citations*
72. **[Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ↗](https://aclanthology.org/P19-1539/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Lianhui Qin et al.*2019 · 138 citations*
73. **[Thinking Like a Skeptic: Defeasible Inference in Natural Language ↗](https://aclanthology.org/2020.findings-emnlp.418/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Rachel Rudinger et al.*2020 · 137 citations*
74. **[Connotation Frames of Power and Agency in Modern Films ↗](https://aclanthology.org/D17-1247/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Maarten Sap et al.*2017 · 135 citations*
75. **[Mise en Place: Unsupervised Interpretation of Instructional Recipes ↗](https://aclanthology.org/D15-1114/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chloé Kiddon et al.*2015 · 135 citations*
76. **[GO FIGURE: A Meta Evaluation of Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/gabriel-2021-go-figure-meta-evaluation-factuality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, et al.*2021 · 130 citations*
77. **[Connotation Frames: A Data-Driven Investigation ↗](https://aclanthology.org/P16-1030/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hannah Rashkin, Sameer Singh, Yejin Choi*2016 · 124 citations*
78. **[Verb Physics: Relative Physical Knowledge of Actions and Objects ↗](https://aclanthology.org/P17-1025/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Maxwell Forbes, Yejin Choi*2017 · 121 citations*
79. **[Commonsense Reasoning for Natural Language Processing ↗](https://aclanthology.org/2020.acl-tutorials.7/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**Maarten Sap et al.*2020 · 118 citations*
80. **[Contrastive Explanations for Model Interpretability ↗](https://aclanthology.org/2021.emnlp-main.120/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Alon Jacovi et al.*2021 · 116 citations*
81. **[Robust Navigation with Language Pretraining and Stochastic Sampling ↗](https://aclanthology.org/D19-1159/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Xiujun Li et al.*2019 · 116 citations*
82. **[Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest](https://md.research.elamur.ai/free/en/papers/hessel-2023-do-androids-laugh-electric-sheep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.*2023 · 112 citations*
83. **[Reframing Human-AI Collaboration for Generating Free-Text Explanations ↗](https://arxiv.org/abs/2112.08674) arXiv:2112.08674 · no summary yet**Sarah Wiegreffe et al.*2021 · 111 citations*
84. **[Discourse-Aware Neural Rewards for Coherent Text Generation ↗](https://aclanthology.org/N18-1016/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Antoine Bosselut et al.*2018 · 111 citations*
85. **[SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks](https://md.research.elamur.ai/free/en/papers/lin-2023-swiftsage-generative-agent-fast-slow/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.*2023 · 110 citations*
86. **[We're Afraid Language Models Aren't Modeling Ambiguity](https://md.research.elamur.ai/free/en/papers/liu-2023-we-re-afraid-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alisa Liu, Zhaofeng Wu, Julian Michael, et al.*2023 · 110 citations*
87. **[NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints](https://md.research.elamur.ai/free/en/papers/lu-2021-neurologic-decoding-un-supervised-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ximing Lu, Peter West, Rowan Zellers, et al.*2021 · 110 citations*
88. **[Event Detection and Factuality Assessment with Non-Expert Supervision ↗](https://aclanthology.org/D15-1189/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Kenton Lee et al.*2015 · 107 citations*
89. **[PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction ↗](https://aclanthology.org/2020.emnlp-main.602/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xinyao Ma et al.*2020 · 106 citations*
90. [**WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild arXiv:2406.04770**Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.*2024 · 105 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-wildbench-benchmarking-llms-challenging-tasks/)
91. **[Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging ↗](https://arxiv.org/abs/2310.11564) arXiv:2310.11564 · no summary yet**Joel Jang et al.*2023 · 102 citations*
92. **[Simulating Action Dynamics with Neural Process Networks ↗](https://arxiv.org/abs/1711.05313) arXiv:1711.05313 · no summary yet**Antoine Bosselut et al.*2017 · 102 citations*
93. **[CommonsenseQA 2.0: Exposing the Limits of AI through Gamification ↗](https://arxiv.org/abs/2201.05320) arXiv:2201.05320 · no summary yet**Alon Talmor et al.*2022 · 94 citations*
94. **[WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2024-wildteaming-scale-wild-jailbreaks-adversarially/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Liwei Jiang, Kavel Rao, Seungju Han, et al.*2024 · 92 citations*
95. **[It's not Rocket Science: Interpreting Figurative Language in Narratives](https://md.research.elamur.ai/free/en/papers/chakrabarty-2022-it-s-not-rocket-science/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tuhin Chakrabarty, Yejin Choi, Vered Shwartz*2022 · 91 citations*
96. [**Do Membership Inference Attacks Work on Large Language Models? arXiv:2402.07841**Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/duan-2024-membership-inference-attacks-work-large/)
97. **[Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/qin-2020-back-future-unsupervised-backprop-based/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lianhui Qin, Vered Shwartz, Peter West, et al.*2020 · 86 citations*
98. **[TIMEDIAL: Temporal Commonsense Reasoning in Dialog ↗](https://aclanthology.org/2021.acl-long.549/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Lianhui Qin et al.*2021 · 85 citations*
99. **[Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2022-rainier-reinforced-knowledge-introspector-commonsense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.*2022 · 82 citations*
100. **[Tuning Language Models by Proxy ↗](https://arxiv.org/abs/2401.08565) arXiv:2401.08565 · no summary yet**Alisa Liu et al.*2024 · 79 citations*

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