EMNLP2023


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 and Youngjae Yu


EMNLP2023


VLIS: Unimodal Language Models Guide Multimodal Language Generation

Jiwan Chung and Youngjae Yu


CVPR2023


Fusing Pre-trained Language Models with Multimodal Prompts through Reinforcement Learning

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


ICCV2023


CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos

Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi and Youngjae Yu


NeurIPS2023


Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

JWanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Youngjae Yu, Ludwig Schmidt, William Yang Wang and Yejin Choi


BMVC2023


Long Story Short: a Summarize-then-Search Method for Long Video Question Answering

Jiwan Chung and Youngjae Yu


ACL2023


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 and Yejin Choi


EMNLP2023


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 and Yejin Choi


EMNLP2022


ProsocialDialog: A Prosocial Backbone for Conversational Agents

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