Yejin Choi

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

Comments EMNLP Findings camera-ready

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?

Saadia Gabriel, Hamid Palangi, Yejin Choi

Comments Findings of EMNLP 2022

Generating Sequences by Learning to Self-Correct

Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi

NaturalProver: Grounded Mathematical Proof Generation with Language Models

Sean Welleck, Jiacheng Liu, Ximing Lu, Hannaneh Hajishirzi, Yejin Choi

Comments NeurIPS 2022

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

Comments Accepted to EMNLP 2022 main conference, visit our project page at: https://genie.apps.allenai.org

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

Comments Proc. of EMNLP 2022

Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation

Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi

Journal ref Empirical Methods in Natural Language Processing 2022 (EMNLP 2022)

ProsocialDialog: A Prosocial Backbone for Conversational Agents

Hyunwoo Kim, Youngjae Yu, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap

Comments EMNLP 2022 camera ready; Dataset and model can be found at https://hyunw.kim/prosocial-dialog/

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi

Comments EMNLP 2022

NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation

Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta

Comments Findings of EMNLP 2022

Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering

Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi

Comments EMNLP 2022 main conference

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

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, Noah A. Smith, Hannaneh Hajishirzi, Daniel Khashabi

Comments Accepted to EMNLP 2022, 25 pages

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics

Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi

Comments NeurIPS 2022. code: https://github.com/qkaren/COLD_decoding

Generated Knowledge Prompting for Commonsense Reasoning

Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi

Comments ACL 2022 main conference

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

Comments Findings of the Association for Computational Linguistics: EMNLP 2020

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

Comments code, data, models at http://visualabduction.com/

Journal ref ECCV 2022

Can Machines Learn Morality? The Delphi Experiment

Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny Liang, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jon Borchardt, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi

Imagined versus Remembered Stories: Quantifying Differences in Narrative Flow

Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz

Comments Equal contribution from Sap and Jafarpour; in review; version 2

Multimodal Knowledge Alignment with Reinforcement Learning

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, JaeSung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi

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

Comments Proc. of NAACL 2022

Transparent Human Evaluation for Image Captioning

Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith

Comments Proc. of NAACL 2022

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

Comments CVPR 2022. Project page at https://rowanzellers.com/merlotreserve

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

Comments NAACL 2022 Camera Ready

Aligning to Social Norms and Values in Interactive Narratives

Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajishirzi, Yejin Choi

Comments In Proceedings of NAACL-2022

Reframing Human-AI Collaboration for Generating Free-Text Explanations

Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, Yejin Choi

Comments NAACL 2022 Camera-ready. 13 pages main + references, 14 pages appendix

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts

Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi

Comments NAACL 2022

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

Comments Accepted to NAACL 2022. Our code is available at https://github.com/zhaoyanpeng/vipant

Probing Factually Grounded Content Transfer with Factual Ablation

Peter West, Chris Quirk, Michel Galley, Yejin Choi

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi

Journal ref EMNLP 2021

Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines

Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi

Comments ACL 2022 camera-ready