Jeff Da

19 papers A* 3A 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers.
CoRR
Chaithanya Bandi, Ben Hertzberg, Geobio Boo, Tejas Polakam, Jeff Da, Sami Hassaan, Manasi Sharma, Andrew Park, Ernesto Hernandez, Dan Rambado, Ivan Salazar, Rafael Cruz, Chetan Rane, Ben Levin, Brad Kenstler, Bing Liu
2025 J jnl
Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards.
CoRR
Jeff Da, Clinton Wang, Xiang Deng, Yuntao Ma, Nikhil Barhate, Sean Hendryx
2025 J jnl
Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections.
CoRR
Niklas Lauffer, Xiang Deng, Srivatsa Kundurthy, Brad Kenstler, Jeff Da
2025 J jnl
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
CoRR
Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Nitin Pasari, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler
2024 A* conf
A Careful Examination of Large Language Model Performance on Grade School Arithmetic.
NeurIPS
Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, William Song, Tiffany Zhao, Pranav Raja, Charlotte Zhuang, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue
2024 J jnl
A Careful Examination of Large Language Model Performance on Grade School Arithmetic.
CoRR
Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele Lunati, Summer Yue
2024 A* conf
Learning Goal-Conditioned Representations for Language Reward Models.
NeurIPS
Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx
2024 J jnl
Learning Goal-Conditioned Representations for Language Reward Models.
CoRR
Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx
2023 — conf
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.
ACL (1)
Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
2022 J jnl
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.
CoRR
Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
2021 A* conf
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
AAAI
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
2021 — conf
Analyzing Commonsense Emergence in Few-shot Knowledge Models.
AKBC
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
2021 A conf
Discourse Understanding and Factual Consistency in Abstractive Summarization.
EACL
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
2021 — conf
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation.
ACL/IJCNLP (1)
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
2021 J jnl
Understanding Few-Shot Commonsense Knowledge Models.
CoRR
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
2020 J jnl
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
CoRR
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
2020 J jnl
Edited Media Understanding: Reasoning About Implications of Manipulated Images.
CoRR
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
2019 J jnl
BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge.
CoRR
Jeff Da
2019 J jnl
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations.
CoRR
Jeff Da, Jungo Kasai