Michael J.Q. Zhang
Scholar

Michael J.Q. Zhang

Google Scholar ID: LPEs0D4AAAAJ
New York University
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Citations & Impact
All-time
Citations
916
 
H-index
13
 
i10-index
14
 
Publications
17
 
Co-authors
0
 
Contact
TwitterOpen ↗GitHubOpen ↗
Publications
2 items
Improving LLM-as-a-Judge Inference with the Judgment Distribution
2025
Cited
0
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
arXiv.org · 2024
Cited
2
Resume
Academic Achievements
  • - EMNLP 2025: User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
  • - EMNLP 2025 Findings: Improving LLM-as-a-Judge Inference with the Judgment Distribution
  • - ICML 2025: Diverging Preferences: When do Annotators Disagree and do Models Know?
  • - ICLR 2025: Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
  • - NAACL 2025 Findings: Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
  • - NeurIPS 2023: Propagating Knowledge Updates to LMs Through Distillation
  • - EMNLP 2023: Mitigating Temporal Misalignment by Discarding Outdated Facts
  • - EMNLP 2023: Selectively Answering Ambiguous Questions
  • - ACL 2023: Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
  • - EACL 2023: DIFFQG: Generating Questions to Summarize Factual Changes
  • - EMNLP 2022: Rich Knowledge Sources Bring Complex Knowledge Conflicts in QA: Recalibrating Models to Reflect Conflicting Evidences
  • - NAACL 2022 Findings: Entity Cloze By Date: What LMs Know About Unseen Entities
  • - NeurIPS Datasets and Benchmarks 2021: CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
  • - EMNLP 2021: SituatedQA: Incorporating Extra-Linguistic Contexts into QA (Outstanding Paper Award)
  • - EAMT 2020: Document-level Neural MT: A Systematic Comparison
  • - ACM FAT* 2019: Deep Weighted Averaging Classifiers
Research Experience
  • - Summer 2024: Internship at Allen Institute for AI
  • - Summer 2022: Internship at Google Research
  • - Summer 2020: Internship at Microsoft Research
  • - Summer 2019: Internship at Unbabel
Education
  • - Ph.D. in Computer Science, NYU, advised by Eunsol Choi, transferred in 2024
  • - B.S. in Computer Science, University of Washington, worked with Noah A. Smith
Background
  • Primary research interests include machine learning and natural language processing. Currently, a fifth-year Ph.D. student in Computer Science at NYU (Courant Institute), advised by Eunsol Choi.
Miscellany
  • Named after three MJs: Michael Jordan, Michael Jackson, and Michael J. Fox.