Yejin Choi

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 306

Top Venues

Publications

Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu
CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos. CoRR (2023)
Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration. CoRR (2023)
Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR (2023)
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox
Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling. CoRR (2023)
Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR (2023)
Yejin Choi
Common Sense: The Dark Matter of Language and Intelligence. AAMAS (2023)
Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang
Will LLMs reshape, supercharge, or kill data science? Proc. VLDB Endow. 16 (12) (2023)
Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL (1) (2023)
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR (2023)
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. CoRR (2023)
Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. ACL (1) (2023)
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz
It's not Rocket Science: Interpreting Figurative Language in Narratives. Trans. Assoc. Comput. Linguistics 10 (2022)
Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. ACL (1) (2022)
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT (2022)
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
RealTime QA: What's the Answer Right Now? CoRR (2022)
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. NAACL-HLT (2022)
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
-Usable Information. ICML (2022)
Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT (2022)
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith
Twist Decoding: Diverse Generators Guide Each Other. CoRR (2022)
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. CoRR (2022)
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR (2022)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP (2022)
Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. EMNLP (2022)
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. EMNLP (2022)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. CoRR (2022)
Saadia Gabriel, Hamid Palangi, Yejin Choi
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? CoRR (2022)
Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. NeurIPS (2022)
Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. CoRR (2022)
Peter West, Chris Quirk, Michel Galley, Yejin Choi
Probing Factually Grounded Content Transfer with Factual Ablation. ACL (Findings) (2022)
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
MAUVE Scores for Generative Models: Theory and Practice. CoRR (2022)
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
Twist Decoding: Diverse Generators Guide Each Other. EMNLP (2022)
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR (2022)
Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi
NaturalProver: Grounded Mathematical Proof Generation with Language Models. CoRR (2022)
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR (2022)
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT (2022)
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR (2022)
Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. CoRR (2022)
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. CoRR (2022)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR (2022)
Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
Reframing Instructional Prompts to GPTk's Language. ACL (Findings) (2022)
Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. CoRR (2022)
Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR (2022)
Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. CoRR (2022)
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi
Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines. ACL (1) (2022)
Sean Welleck, Peter West, Jize Cao, Yejin Choi
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. AAAI (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR (2022)
Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT (2022)
Saadia Gabriel, Hamid Palangi, Yejin Choi
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP (Findings) (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT (2022)
Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Generating Sequences by Learning to Self-Correct. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah Smith
Transparent Human Evaluation for Image Captioning. NAACL-HLT (2022)
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR (2022)
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) (2022)
Yejin Choi
Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script Knowledge. WSDM (2022)
Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi
Aligning to Social Norms and Values in Interactive Narratives. NAACL-HLT (2022)
Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR (2022)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR (2022)
Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR (2022)
Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui
Statistical and Computational Guarantees for Influence Diagnostics. CoRR (2022)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) (2022)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. EMNLP (Findings) (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. CoRR (2022)
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. EMNLP (2022)
Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. CoRR (2022)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith
Beam Decoding with Controlled Patience. CoRR (2022)
Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi
Aligning to Social Norms and Values in Interactive Narratives. CoRR (2022)
Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT (2022)
Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
ProsocialDialog: A Prosocial Backbone for Conversational Agents. EMNLP (2022)
Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. CoRR (2022)
Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. EMNLP (Findings) (2022)
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT (2022)
Peter West, Chris Quirk, Michel Galley, Yejin Choi
Probing Factually Grounded Content Transfer with Factual Ablation. CoRR (2022)
Maarten Sap, Ronan LeBras, Daniel Fried, Yejin Choi
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. CoRR (2022)
Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. EMNLP (2022)
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. CoRR (2022)
Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) (2021)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI (2021)
Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR (2021)
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
Challenges in Automated Debiasing for Toxic Language Detection. CoRR (2021)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR (2021)
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
Contrastive Explanations for Model Interpretability. EMNLP (1) (2021)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
Generated Knowledge Prompting for Commonsense Reasoning. CoRR (2021)
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. CoRR (2021)
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation. ACL/IJCNLP (1) (2021)
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT (2021)
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR (2021)
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL (2021)
Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR (2021)
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
Understanding Few-Shot Commonsense Knowledge Models. CoRR (2021)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) (2021)
Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui
TIMEDIAL: Temporal Commonsense Reasoning in Dialog. CoRR (2021)
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. CoRR (2021)
Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui
TIMEDIAL: Temporal Commonsense Reasoning in Dialog. ACL/IJCNLP (1) (2021)
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
Reframing Instructional Prompts to GPTk's Language. CoRR (2021)
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI (2021)
Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang, Yejin Choi
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL/IJCNLP (1) (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yejin Choi