Yejin Choi

Reframing Instructional Prompts to GPTk's Language

Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi

Comments ACL 2022 Findings

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

Comments The project webpage is at https://yao-dou.github.io/scarecrow/

It's not Rocket Science : Interpreting Figurative Language in Narratives

Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

Comments Accepted to TACL ( To be presented at ACL 2022, Dublin)

Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics

Sean Welleck, Peter West, Jize Cao, Yejin Choi

Comments AAAI 2022

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World

Rowan Zellers, Ari Holtzman, Matthew Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi

Comments ACL 2021 camera ready, project page at https://rowanzellers.com/piglet/

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant

Comments Presented as Oral at NeurIPS 2021

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models

Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena Hwang, Yejin Choi

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

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

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence (2021), 35(7), 6384-6392

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals

Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaid Harchaoui

Comments NeurIPS 2021 (Oral Presentation). Package: https://github.com/krishnap25/mauve

MERLOT: Multimodal Neural Script Knowledge Models

Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi

Comments project page at https://rowanzellers.com/merlot; NeurIPS 2021 camera ready

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

Comments 10 pages, 3 figures

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom Mitchell

Comments Appearing in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Contrastive Explanations for Model Interpretability

Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg

Comments Accepted to EMNLP 2021 as a long paper

Analyzing Commonsense Emergence in Few-shot Knowledge Models

Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut

Comments AKBC 2021

Social Chemistry 101: Learning to Reason about Social and Moral Norms

Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi

Comments Published at EMNLP 2020

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning

Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

Comments EMNLP 2020

TIMEDIAL: Temporal Commonsense Reasoning in Dialog

Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui

NaturalProofs: Mathematical Theorem Proving in Natural Language

Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho

GO FIGURE: A Meta Evaluation of Factuality in Summarization

Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao

Comments ACL 2021 Findings

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

Comments ACL 2021 camera-ready

"I'm Not Mad": Commonsense Implications of Negation and Contradiction

Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi

Comments Camera Ready Version for NAACL 2021

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints

Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Comments NAACL 2021

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi

TuringAdvice: A Generative and Dynamic Evaluation of Language Use

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

Comments NAACL 2021 camera ready. Project page at https://rowanzellers.com/advice

Discourse Understanding and Factual Consistency in Abstractive Summarization

Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

Comments EACL 2021

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark

Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Comments 27 pages, 19 figures, 34 tables. Accepted to AAAI 2021. For associated code and data see https://github.com/allenai/rainbow

Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes

Nicholas Lourie, Ronan Le Bras, Yejin Choi

Comments 18 pages, 14 tables, 18 figures. Accepted to AAAI 2021. For associated code and data, see https://github.com/allenai/scruples

VinVL: Revisiting Visual Representations in Vision-Language Models

Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao

Journal ref CVPR 2021