Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations. - Jeff Da; Jungo Kasai (CoRR, 2019)

BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge. - Jeff Da (CoRR, 2019)

Edited Media Understanding: Reasoning About Implications of Manipulated Images. - Jeff Da; Maxwell Forbes; Rowan Zellers; Anthony Zheng; Jena D. Hwang; Antoine Bosselut; Yejin Choi 001 (CoRR, 2020)

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. - Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jeff Da; Keisuke Sakaguchi; Antoine Bosselut; Yejin Choi 001 (AAAI, 2021)

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 001 (ACL/IJCNLP (1), 2021)

Analyzing Commonsense Emergence in Few-shot Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (AKBC, 2021)

Discourse Understanding and Factual Consistency in Abstractive Summarization. - Saadia Gabriel; Antoine Bosselut; Jeff Da; Ari Holtzman; Jan Buys; Kyle Lo; Asli Celikyilmaz; Yejin Choi 001 (EACL, 2021)

Understanding Few-Shot Commonsense Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (CoRR, 2021)

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 001 (ACL (1), 2023)

Learning Goal-Conditioned Representations for Language Reward Models. - Vaskar Nath; Dylan Slack; Jeff Da; Yuntao Ma; Hugh Zhang; Spencer Whitehead; Sean Hendryx (NeurIPS, 2024)

A Careful Examination of Large Language Model Performance on Grade School Arithmetic. - Hugh Zhang; Jeff Da; Dean Lee; Vaughn Robinson; Catherine Wu; William Song; Tiffany Zhao; Pranav Raja; Charlotte Zhuang; Dylan Slack; Qin Lyu; Sean Hendryx; et al. (NeurIPS, 2024)

A Careful Examination of Large Language Model Performance on Grade School Arithmetic. - Hugh Zhang; Jeff Da; Dean Lee; Vaughn Robinson; Catherine Wu; Will Song; Tiffany Zhao; Pranav Raja; Dylan Slack; Qin Lyu; Sean Hendryx; Russell Kaplan; et al. (CoRR, 2024)

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards. - Jeff Da; Clinton Wang; Xiang Deng; Yuntao Ma; Nikhil Barhate; Sean Hendryx (CoRR, 2025)