Yejin Choi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
266
Venues
25
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*EMNLP76 papers
- A*ACL64 papers
- ANAACL34 papers
- A*ICLR23 papers
- A*AAAI16 papers
- A*ICML10 papers
- A*CVPR9 papers
- AEACL6 papers
- A*ICCV5 papers
- BCogSci3 papers
- A*ECCV3 papers
- BCoNLL3 papers
- BCOLING2 papers
- A*UIST1 paper
- CAIES1 paper
- AAISTATS1 paper
- AWSDM1 paper
- BRO-MAN1 paper
- AIROS1 paper
- BINLG1 paper
- BPAM1 paper
- AICWSM1 paper
- NationalRANLP1 paper
- A*WWW1 paper
- A*IJCAI1 paper
Papers
266 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | When One LLM Drools, Multi-LLM Collaboration Rules. | Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov |
| 2026 | ACL | Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding. | Jaehyun Jeon, Min Soo Kim, Janghan Yoon, Sumin Shim, Yejin Choi, Hanbin Kim, Dae Hyun Kim, Youngjae Yu |
| 2026 | EACL | Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning. | Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, Seungju Han, Ying Lin, Evelina Bakhturina, Eric Nyberg, Yejin Choi, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ACL | OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. | Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge |
| 2025 | ACL | CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming. | Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi |
| 2025 | ACL | Biased LLMs can Influence Political Decision-Making. | Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke |
| 2025 | ACL | LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. | Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | ACL | Can Language Models Reason about Individualistic Human Values and Preferences? | Liwei Jiang, Taylor Sorensen, Sydney Levine, Yejin Choi |
| 2025 | ACL | HALoGEN: Fantastic LLM Hallucinations and Where to Find Them. | Abhilasha Ravichander, Shrusti Ghela, David Wadden, Yejin Choi |
| 2025 | ACL | Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications. | Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi |
| 2025 | CVPR | One-Minute Video Generation with Test-Time Training. | Karan Dalal, Daniel Koceja, Jiarui Xu, Yue Zhao, Shihao Han, Ka Chun Cheung, Jan Kautz, Yejin Choi, Yu Sun, Xiaolong Wang |
| 2025 | CVPR | Synthetic Visual Genome. | Jae Sung Park, Zixian Ma, Linjie Li, Chenhao Zheng, Cheng-Yu Hsieh, Ximing Lu, Khyathi Raghavi Chandu, Quan Kong, Norimasa Kobori, Ali Farhadi, Yejin Choi, Ranjay Krishna |
| 2025 | EMNLP | Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. | David Acuna, Ximing Lu, Jaehun Jung, Hyunwoo Kim, Amlan Kar, Sanja Fidler, Yejin Choi |
| 2025 | EMNLP | Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation. | Yejin Choi, Jae-Woo Park, Janghan Yoon, Saejin Kim, Jaehyun Jeon, Youngjae Yu |
| 2025 | EMNLP | Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning. | Chan Young Park, Jillian Fisher, Marius Memmel, Dipika Khullar, Seoho Yun, Abhishek Gupta, Yejin Choi |
| 2025 | EMNLP | Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index. | Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | ICCV | Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. | Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Frank Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2025 | ICLR | Language Model Alignment in Multilingual Trolley Problems. | Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, Andrs Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schlkopf |
| 2025 | ICLR | CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. | Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi |
| 2025 | ICLR | DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life. | Yu Ying Chiu, Liwei Jiang, Yejin Choi |
| 2025 | ICLR | Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement. | Jaehun Jung, Faeze Brahman, Yejin Choi |
| 2025 | ICLR | WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. | Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi |
| 2025 | ICLR | AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. | Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi |
| 2025 | ICLR | Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. | Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao |
| 2025 | ICLR | Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning. | Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi, Yulia Tsvetkov, Yonatan Bisk, Yejin Choi, Asli Celikyilmaz |
| 2025 | ICLR | Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. | Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin |
| 2025 | ICML | Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. | Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICML | Position: Political Neutrality in AI Is Impossible - But Here Is How to Approximate It. | Jillian Fisher, Ruth Elisabeth Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret E. Roberts, Jennifer Pan, Dawn Song, Yejin Choi |
| 2025 | ICML | ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. | Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi |
| 2025 | ICML | SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior. | Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang, Nouha Dziri, Anne Collins, Jana Schaich Borg, Maarten Sap, Yejin Choi, Sydney Levine |
| 2025 | ICML | Diverging Preferences: When do Annotators Disagree and do Models Know? | Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin |
| 2025 | NAACL | ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. | Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana |
| 2025 | NAACL | The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. | Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2025 | NAACL | RewardBench: Evaluating Reward Models for Language Modeling. | Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | NAACL | Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. | Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak, Bill Yuchen Lin, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi |
| 2025 | NAACL | L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. | Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi |
| 2025 | UIST | "Gross!": Personalized Video Content Moderation Using Generative Image Overlays for Aversive Videos. | Yejin Choi, Dohwa Kim, Youngeun Jun, Hyosu Kim, Eunji Park |
| 2024 | AAAI | Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. | 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 |
| 2024 | ACL | Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. | Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu |
| 2024 | ACL | Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. | Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren |
| 2024 | ACL | Agent Lumos: Unified and Modular Training for Open-Source Language Agents. | Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin |
| 2024 | AIES | Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits. | Jimin Mun, Liwei Jiang, Jenny T. Liang, Inyoung Cheong, Nicole DeCario, Yejin Choi, Tadayoshi Kohno, Maarten Sap |
| 2024 | CogSci | Perceptions of Compromise: Comparing Consqequentialist and Conctractualist Accounts. | Jared Moore, Sydney Levine, Yejin Choi |
| 2024 | CogSci | Resource-rational moral judgment. | Sarah A. Wu, Xiang Ren, Tobias Gerstenberg, Yejin Choi, Sydney Levine |
| 2024 | COLING | A Call for Clarity in Beam Search: How It Works and When It Stops. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith |
| 2024 | EACL | Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. | Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, Vered Shwartz |
| 2024 | EMNLP | In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. | Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren |
| 2024 | EMNLP | CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. | Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh |
| 2024 | EMNLP | WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. | Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi |
| 2024 | EMNLP | Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. | Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov |
| 2024 | EMNLP | StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements. | Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L. Gordon, Zad Harchaoui, Yejin Choi |
| 2024 | EMNLP | Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models. | Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim |
| 2024 | EMNLP | How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. | Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel |
| 2024 | EMNLP | Symbolic Working Memory Enhances Language Models for Complex Rule Application. | Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren |
| 2024 | ICLR | PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. | Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi |
| 2024 | ICLR | Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. | Seungone Kim, Jamin Shin, Yejin Choi, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo |
| 2024 | ICLR | The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning. | Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Raghavi Chandu, Chandra Bhagavatula, Yejin Choi |
| 2024 | ICLR | Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. | Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi |
| 2024 | ICLR | Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. | Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren |
| 2024 | ICLR | Tailoring Self-Rationalizers with Multi-Reward Distillation. | Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren |
| 2024 | ICLR | Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. | Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr |
| 2024 | ICLR | The Generative AI Paradox: "What It Can Create, It May Not Understand". | Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi |
| 2024 | ICLR | WildChat: 1M ChatGPT Interaction Logs in the Wild. | Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng |
| 2024 | ICML | Structured Chemistry Reasoning with Large Language Models. | Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin |
| 2024 | ICML | Position: A Roadmap to Pluralistic Alignment. | 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 |
| 2024 | NAACL | JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models. | Jillian Fisher, Ximing Lu, Jaehun Jung, Liwei Jiang, Zad Harchaoui, Yejin Choi |
| 2024 | NAACL | NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. | Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta |
| 2024 | NAACL | Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model. | Jaehun Jung, Peter West, Liwei Jiang, Faeze Brahman, Ximing Lu, Jillian Fisher, Taylor Sorensen, Yejin Choi |
| 2024 | NAACL | MacGyver: Are Large Language Models Creative Problem Solvers? | Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman |
| 2024 | NAACL | UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. | Wenting Zhao, Justin T. Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Li, Alane Suhr |
| 2023 | ACL | I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. | Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi |
| 2023 | ACL | REV: Information-Theoretic Evaluation of Free-Text Rationales. | Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta |
| 2023 | ACL | Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. | Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap |
| 2023 | ACL | Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. | Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi |
| 2023 | ACL | Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. | Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji |
| 2023 | ACL | Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. | Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren |
| 2023 | ACL | SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. | 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 |
| 2023 | ACL | Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. | Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi |
| 2023 | ACL | From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. | Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap |
| 2023 | ACL | ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. | Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula |
| 2023 | ACL | Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. | Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov |
| 2023 | ACL | Commonsense Knowledge Transfer for Pre-trained Language Models. | Wangchunshu Zhou, Ronan Le Bras, Yejin Choi |
| 2023 | ACL | Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. | Wangchunshu Zhou, Ronan Le Bras, Yejin Choi |
| 2023 | ACL | I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. | Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu |
| 2023 | AISTATS | Influence Diagnostics under Self-concordance. | Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zad Harchaoui |
| 2023 | CVPR | Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. | Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi |
| 2023 | EACL | Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. | Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi |
| 2023 | EMNLP | SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. | 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 |
| 2023 | EMNLP | FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. | Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap |
| 2023 | EMNLP | Crystal: Introspective Reasoners Reinforced with Self-Feedback. | Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz |
| 2023 | EMNLP | Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. | Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi |
| 2023 | EMNLP | "You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. | Allyson Ettinger, Jena D. Hwang, Valentina Pyatkin, Chandra Bhagavatula, Yejin Choi |
| 2023 | EMNLP | STEER: Unified Style Transfer with Expert Reinforcement. | Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck, Yejin Choi |
| 2023 | EMNLP | Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms. | Seungju Han, Junhyeok Kim, Jack Hessel, Liwei Jiang, Jiwan Chung, Yejin Son, Yejin Choi, Youngjae Yu |
| 2023 | EMNLP | We're Afraid Language Models Aren't Modeling Ambiguity. | Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi |
| 2023 | EMNLP | Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. | Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi 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 |
| 2023 | EMNLP | What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. | Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi |
| 2023 | EMNLP | BotPercent: Estimating Bot Populations in Twitter Communities. | Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov |
| 2023 | EMNLP | NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. | 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 |
| 2023 | ICCV | Champagne: Learning Real-world Conversation from Large-Scale Web Videos. | Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu |
| 2023 | ICLR | Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. | Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiant Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi |
| 2023 | ICLR | Generating Sequences by Learning to Self-Correct. | Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi |
| 2023 | ICML | Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling. | Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox |
| 2022 | AAAI | Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. | Sean Welleck, Peter West, Jize Cao, Yejin Choi |
| 2022 | ACL | Generated Knowledge Prompting for Commonsense Reasoning. | Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi |
| 2022 | ACL | Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. | Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi |
| 2022 | ACL | Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. | Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi |
| 2022 | ACL | Reframing Instructional Prompts to GPTk's Language. | Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi |
| 2022 | ACL | Probing Factually Grounded Content Transfer with Factual Ablation. | Peter West, Chris Quirk, Michel Galley, Yejin Choi |
| 2022 | CVPR | MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. | Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi |
| 2022 | ECCV | The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. | Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi |
| 2022 | EMNLP | ProsocialDialog: A Prosocial Backbone for Conversational Agents. | Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap |
| 2022 | EMNLP | Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. | Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi |
| 2022 | EMNLP | NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? | Saadia Gabriel, Hamid Palangi, Yejin Choi |
| 2022 | EMNLP | NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. | Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta |
| 2022 | EMNLP | Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. | Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi |
| 2022 | EMNLP | Twist Decoding: Diverse Generators Guide Each Other. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith |
| 2022 | EMNLP | GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. | Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld |
| 2022 | EMNLP | WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. | Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi |
| 2022 | EMNLP | Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. | Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi |
| 2022 | EMNLP | Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. | Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi |
| 2022 | ICML | Understanding Dataset Difficulty with | Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta |
| 2022 | NAACL | Aligning to Social Norms and Values in Interactive Narratives. | Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi |
| 2022 | NAACL | Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith |
| 2022 | NAACL | Transparent Human Evaluation for Image Captioning. | Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2022 | NAACL | NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. | 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 |
| 2022 | NAACL | Exposing the Limits of Video-Text Models through Contrast Sets. | Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach |
| 2022 | NAACL | Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. | Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith |
| 2022 | NAACL | Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. | Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi |
| 2022 | NAACL | Reframing Human-AI Collaboration for Generating Free-Text Explanations. | Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi |
| 2022 | NAACL | Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. | Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi |
| 2022 | WSDM | Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge. | Yejin Choi |
| 2021 | AAAI | Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. | Antoine Bosselut, Ronan Le Bras, Yejin Choi |
| 2021 | AAAI | Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. | Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi |
| 2021 | AAAI | MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. | Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi |
| 2021 | AAAI | Paragraph-level Commonsense Transformers with Recurrent Memory. | Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi |
| 2021 | AAAI | (Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. | Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi |
| 2021 | AAAI | UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. | Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2021 | AAAI | SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. | Nicholas Lourie, Ronan Le Bras, Yejin Choi |
| 2021 | ACL | Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation. | Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi |
| 2021 | ACL | On-the-Fly Attention Modulation for Neural Generation. | Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi |
| 2021 | ACL | GO FIGURE: A Meta Evaluation of Factuality in Summarization. | Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao |
| 2021 | ACL | DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. | Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi |
| 2021 | ACL | TIMEDIAL: Temporal Commonsense Reasoning in Dialog. | Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui |
| 2021 | ACL | Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. | Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi |
| 2021 | ACL | PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. | Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi |
| 2021 | CVPR | VinVL: Revisiting Visual Representations in Vision-Language Models. | Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao |
| 2021 | EACL | Discourse Understanding and Factual Consistency in Abstractive Summarization. | Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi |
| 2021 | EACL | Challenges in Automated Debiasing for Toxic Language Detection. | Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith |
| 2021 | EMNLP | Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. | Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell |
| 2021 | EMNLP | Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. | Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi |
| 2021 | EMNLP | CLIPScore: A Reference-free Evaluation Metric for Image Captioning. | Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi |
| 2021 | EMNLP | Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. | Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer |
| 2021 | EMNLP | Contrastive Explanations for Model Interpretability. | Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg |
| 2021 | EMNLP | proScript: Partially Ordered Scripts Generation. | Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi |
| 2021 | NAACL | "I'm Not Mad": Commonsense Implications of Negation and Contradiction. | Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi |
| 2021 | NAACL | NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. | Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2021 | NAACL | TuringAdvice: A Generative and Dynamic Evaluation of Language Use. | Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi |
| 2021 | RO-MAN | Design and Experimental Evaluation of Foldable Robot Arms for a Holding and Installation Work: FRAHI. | Bhivraj Suthar, Yejin Choi, Seul Jung |
| 2020 | AAAI | PIQA: Reasoning about Physical Commonsense in Natural Language. | Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi |
| 2020 | AAAI | Commonsense Knowledge Base Completion with Structural and Semantic Context. | Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi |
| 2020 | AAAI | WinoGrande: An Adversarial Winograd Schema Challenge at Scale. | Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2020 | ACL | Social Bias Frames: Reasoning about Social and Power Implications of Language. | Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi |
| 2020 | ACL | Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. | Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker |
| 2020 | ACL | Commonsense Reasoning for Natural Language Processing. | Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth |
| 2020 | COLING | Do Neural Language Models Overcome Reporting Bias? | Vered Shwartz, Yejin Choi |
| 2020 | ECCV | Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. | Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao |
| 2020 | ECCV | VisualCOMET: Reasoning About the Dynamic Context of a Still Image. | Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi |
| 2020 | EMNLP | Social Chemistry 101: Learning to Reason about Social and Moral Norms. | Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi |
| 2020 | EMNLP | RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. | Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith |
| 2020 | EMNLP | CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. | Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren |
| 2020 | EMNLP | Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. | Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction. | Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi |
| 2020 | EMNLP | Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. | Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi |
| 2020 | EMNLP | PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. | Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao |
| 2020 | EMNLP | Thinking Like a Skeptic: Defeasible Inference in Natural Language. | Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Unsupervised Commonsense Question Answering with Self-Talk. | Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2020 | EMNLP | Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. | Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | G-DAug: Generative Data Augmentation for Commonsense Reasoning. | Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey |
| 2020 | ICLR | Abductive Commonsense Reasoning. | Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi |
| 2020 | ICLR | The Curious Case of Neural Text Degeneration. | Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi |
| 2020 | ICML | Adversarial Filters of Dataset Biases. | Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi |
| 2019 | AAAI | ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. | Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi |
| 2019 | ACL | COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. | Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi |
| 2019 | ACL | Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. | Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao |
| 2019 | ACL | The Risk of Racial Bias in Hate Speech Detection. | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith |
| 2019 | ACL | HellaSwag: Can a Machine Really Finish Your Sentence? | Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi |
| 2019 | CogSci | Do Neural Language Representations Learn Physical Commonsense? | Maxwell Forbes, Ari Holtzman, Yejin Choi |
| 2019 | CVPR | Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. | Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa |
| 2019 | CVPR | From Recognition to Cognition: Visual Commonsense Reasoning. | Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi |
| 2019 | EMNLP | Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. | Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
| 2019 | EMNLP | Robust Navigation with Language Pretraining and Stochastic Sampling. | Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
| 2019 | EMNLP | Counterfactual Story Reasoning and Generation. | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi |
| 2019 | EMNLP | Social IQa: Commonsense Reasoning about Social Interactions. | Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi |
| 2019 | EMNLP | BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. | Peter West, Ari Holtzman, Jan Buys, Yejin Choi |
| 2019 | IROS | EARLY FUSION for Goal Directed Robotic Vision. | Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox |
| 2019 | NAACL | MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms. | Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi, Hannaneh Hajishirzi |
| 2019 | NAACL | Benchmarking Hierarchical Script Knowledge. | Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi |
| 2018 | AAAI | Learning Interpretable Spatial Operations in a Rich 3D Blocks World. | Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu |
| 2018 | ACL | Learning to Write with Cooperative Discriminators. | Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi |
| 2018 | ACL | Modeling Naive Psychology of Characters in Simple Commonsense Stories. | Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi |
| 2018 | ACL | Ultra-Fine Entity Typing. | Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer |
| 2018 | ACL | Event2Mind: Commonsense Inference on Events, Intents, and Reactions. | Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi |
| 2018 | CVPR | Neural Motifs: Scene Graph Parsing With Global Context. | Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi |
| 2018 | EMNLP | QuAC: Question Answering in Context. | Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer |
| 2018 | EMNLP | Neural Metaphor Detection in Context. | Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer |
| 2018 | EMNLP | SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. | Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi |
| 2018 | ICLR | Simulating Action Dynamics with Neural Process Networks. | Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi |
| 2018 | NAACL | Discourse-Aware Neural Rewards for Coherent Text Generation. | Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi |
| 2018 | NAACL | Deep Communicating Agents for Abstractive Summarization. | Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi |
| 2018 | NAACL | Sounding Board: A User-Centric and Content-Driven Social Chatbot. | Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf |
| 2018 | NAACL | Neural Poetry Translation. | Marjan Ghazvininejad, Yejin Choi, Kevin Knight |
| 2017 | ACL | Verb Physics: Relative Physical Knowledge of Actions and Objects. | Maxwell Forbes, Yejin Choi |
| 2017 | ACL | Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. | Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer |
| 2017 | ACL | Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. | Hannah Rashkin, Eric Bell, Yejin Choi, Svitlana Volkova |
| 2017 | CoNLL | The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. | Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith |
| 2017 | EACL | Story Cloze Task: UW NLP System. | Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith |
| 2017 | EMNLP | Dynamic Entity Representations in Neural Language Models. | Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith |
| 2017 | EMNLP | Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. | Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, Yejin Choi |
| 2017 | EMNLP | Connotation Frames of Power and Agency in Modern Films. | Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi |
| 2017 | EMNLP | Zero-Shot Activity Recognition with Verb Attribute Induction. | Rowan Zellers, Yejin Choi |
| 2016 | AAAI | Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects. | Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi |
| 2016 | ACL | Learning Prototypical Event Structure from Photo Albums. | Antoine Bosselut, Jianfu Chen, David Scott Warren, Hannaneh Hajishirzi, Yejin Choi |
| 2016 | ACL | Document-level Sentiment Inference with Social, Faction, and Discourse Context. | Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi |
| 2016 | ACL | Connotation Frames: A Data-Driven Investigation. | Hannah Rashkin, Sameer Singh, Yejin Choi |
| 2016 | EMNLP | Generating Topical Poetry. | Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight |
| 2016 | EMNLP | Globally Coherent Text Generation with Neural Checklist Models. | Chlo Kiddon, Luke Zettlemoyer, Yejin Choi |
| 2016 | INLG | Sketch-to-Text Generation: Toward Contextual, Creative, and Coherent Composition. | Yejin Choi |
| 2015 | AAAI | Refer-to-as Relations as Semantic Knowledge. | Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi |
| 2015 | EMNLP | Mise en Place: Unsupervised Interpretation of Instructional Recipes. | Chlo Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi |
| 2015 | EMNLP | Event Detection and Factuality Assessment with Non-Expert Supervision. | Kenton Lee, Yoav Artzi, Yejin Choi, Luke Zettlemoyer |
| 2015 | ICCV | Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. | Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi |
| 2015 | NAACL | Dj Image-Captions: A Corpus of Expressive Descriptions in Repetition. | Jianfu Chen, Polina Kuznetsova, David Scott Warren, Yejin Choi |
| 2015 | PAM | Internet Outages, the Eyewitness Accounts: Analysis of the Outages Mailing List. | Ritwik Banerjee, Abbas Razaghpanah, Luis Chiang, Akassh Mishra, Vyas Sekar, Yejin Choi, Phillipa Gill |
| 2014 | ACL | ConnotationWordNet: Learning Connotation over the Word+Sense Network. | Jun Seok Kang, Song Feng, Leman Akoglu, Yejin Choi |
| 2014 | EMNLP | Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays. | Ritwik Banerjee, Song Feng, Jun Seok Kang, Yejin Choi |
| 2013 | ACL | Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning. | Song Feng, Jun Seok Kang, Polina Kuznetsova, Yejin Choi |
| 2013 | ACL | Generalizing Image Captions for Image-Text Parallel Corpus. | Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi |
| 2013 | EMNLP | Success with Style: Using Writing Style to Predict the Success of Novels. | Vikas Ganjigunte Ashok, Song Feng, Yejin Choi |
| 2013 | EMNLP | Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews. | Jun Seok Kang, Polina Kuznetsova, Michael Luca, Yejin Choi |
| 2013 | EMNLP | Understanding and Quantifying Creativity in Lexical Composition. | Polina Kuznetsova, Jianfu Chen, Yejin Choi |
| 2013 | ICCV | From Large Scale Image Categorization to Entry-Level Categories. | Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg |
| 2012 | ACL | Syntactic Stylometry for Deception Detection. | Song Feng, Ritwik Banerjee, Yejin Choi |
| 2012 | ACL | Collective Generation of Natural Image Descriptions. | Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi |
| 2012 | EMNLP | Characterizing Stylistic Elements in Syntactic Structure. | Song Feng, Ritwik Banerjee, Yejin Choi |
| 2012 | ICWSM | Distributional Footprints of Deceptive Product Reviews. | Song Feng, Longfei Xing, Anupam Gogar, Yejin Choi |
| 2012 | NAACL | Detecting Visual Text. | Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa C. Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daum III, Alexander C. Berg, Tamara L. Berg |
| 2011 | ACL | Language of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis. | Manoj Harpalani, Michael Hart, Sandesh Signh, Rob Johnson, Yejin Choi |
| 2011 | ACL | Finding Deceptive Opinion Spam by Any Stretch of the Imagination. | Myle Ott, Yejin Choi, Claire Cardie, Jeffrey T. Hancock |
| 2011 | CoNLL | Composing Simple Image Descriptions using Web-scale N-grams. | Siming Li, Girish Kulkarni, Tamara L. Berg, Alexander C. Berg, Yejin Choi |
| 2011 | CoNLL | Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre. | Ruchita Sarawgi, Kailash Gajulapalli, Yejin Choi |
| 2011 | CVPR | Baby talk: Understanding and generating simple image descriptions. | Girish Kulkarni, Visruth Premraj, Sagnik Dhar, Siming Li, Yejin Choi, Alexander C. Berg, Tamara L. Berg |
| 2011 | EMNLP | Learning General Connotation of Words using Graph-based Algorithms. | Song Feng, Ritwik Bose, Yejin Choi |
| 2011 | RANLP | Domain Independent Authorship Attribution without Domain Adaptation. | Rohith Menon, Yejin Choi |
| 2010 | ACL | Hierarchical Sequential Learning for Extracting Opinions and Their Attributes. | Yejin Choi, Claire Cardie |
| 2010 | ACL | Automatically Generating Annotator Rationales to Improve Sentiment Classification. | Ainur Yessenalina, Yejin Choi, Claire Cardie |
| 2010 | WWW | Using landing pages for sponsored search ad selection. | Yejin Choi, Marcus Fontoura, Evgeniy Gabrilovich, Vanja Josifovski, Maurcio R. Mediano, Bo Pang |
| 2009 | EMNLP | Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification. | Yejin Choi, Claire Cardie |
| 2008 | EMNLP | Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis. | Yejin Choi, Claire Cardie |
| 2007 | IJCAI | Identifying Expressions of Opinion in Context. | Eric Breck, Yejin Choi, Claire Cardie |
| 2007 | NAACL | Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution. | Yejin Choi, Claire Cardie |
| 2006 | EMNLP | Joint Extraction of Entities and Relations for Opinion Recognition. | Yejin Choi, Eric Breck, Claire Cardie |
| 2005 | NAACL | Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. | Yejin Choi, Claire Cardie, Ellen Riloff, Siddharth Patwardhan |
| 2005 | NAACL | OpinionFinder: A System for Subjectivity Analysis. | Theresa Wilson, Paul Hoffmann, Swapna Somasundaran, Jason Kessler, Janyce Wiebe, Yejin Choi, Claire Cardie, Ellen Riloff, Siddharth Patwardhan |