SituatedQA: Incorporating Extra-Linguistic Contexts into QA. - Michael J. Q. Zhang; Eunsol Choi (EMNLP (1), 2021)

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. - Yasumasa Onoe; Michael J. Q. Zhang; Eunsol Choi; Greg Durrett (NeurIPS Datasets and Benchmarks, 2021)

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence. - Hung-Ting Chen; Michael J. Q. Zhang; Eunsol Choi (EMNLP, 2022)

Entity Cloze By Date: What LMs Know About Unseen Entities. - Yasumasa Onoe; Michael J. Q. Zhang; Eunsol Choi; Greg Durrett (NAACL-HLT (Findings), 2022)

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. - Yasumasa Onoe; Michael J. Q. Zhang; Shankar Padmanabhan; Greg Durrett; Eunsol Choi (ACL (1), 2023)

DiffQG: Generating Questions to Summarize Factual Changes. - Jeremy R. Cole; Palak Jain 006; Julian Martin Eisenschlos; Michael J. Q. Zhang; Eunsol Choi; Bhuwan Dhingra (EACL, 2023)

Selectively Answering Ambiguous Questions. - Jeremy R. Cole; Michael J. Q. Zhang; Daniel Gillick; Julian Eisenschlos; Bhuwan Dhingra; Jacob Eisenstein (EMNLP, 2023)

Mitigating Temporal Misalignment by Discarding Outdated Facts. - Michael J. Q. Zhang; Eunsol Choi (EMNLP, 2023)

Propagating Knowledge Updates to LMs Through Distillation. - Shankar Padmanabhan; Yasumasa Onoe; Michael J. Q. Zhang; Greg Durrett; Eunsol Choi (NeurIPS, 2023)

Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions. - Michael J. Q. Zhang; W. Bradley Knox; Eunsol Choi (CoRR, 2024)

Diverging Preferences: When do Annotators Disagree and do Models Know? - Michael J. Q. Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi 001; Eunsol Choi; Xiang Ren 001; Valentina Pyatkin (CoRR, 2024)

Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs. - Michael J. Q. Zhang; Eunsol Choi (NAACL (Findings), 2025)

Improving LLM-as-a-Judge Inference with the Judgment Distribution. - Victor Wang; Michael J. Q. Zhang; Eunsol Choi (CoRR, 2025)

User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal. - Yuhan Liu; Michael J. Q. Zhang; Eunsol Choi (CoRR, 2025)