🧑‍🔬 Michael Zhang

🏛️ Affiliations

🎓University of California, DavisDavis · United States1998–2025 · 87 papersEmployment since 1998 · Professor, Civil and Environmental Engineering🎓Tongji UniversityShanghai · China2004–2021 · 14 papers🎓Stanford UniversityStanford · United States2022–2024 · 6 papers🎓The University of Texas at AustinAustin · United States2022–2023 · 4 papers🎓Saint Mary's UniversityHalifax · Canada2023–2024 · 2 papers🏢BPHouston · United States2019–2022 · 2 papers🎓University of WashingtonSeattle · United States2019–2020 · 2 papers🎓University of California, BerkeleyBerkeley · United States2010–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Document-level Neural MT: A Systematic Comparison (2020 · 114 citations)
   Many context-aware neural MT methods exist, but they have been tested on different languages, datasets and model sizes, so their relative merits were unclear.
2. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence (2022 · 103 citations)
   Open-retrieval QA systems can draw on two kinds of knowledge: facts memorized in a language model's weights and up to a hundred retrieved passages.
3. Selectively Answering Ambiguous Questions (2023 · 78 citations)
   Trustworthy language models should decline to answer when unsure. Earlier work on confidence estimation mostly assumed the question itself is clear, so that only the model's knowledge could be lacking. This paper separates two sources of doubt. Epistemic uncertainty means not knowing the fact. Denotational…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Document-level Neural MT: A Systematic ComparisonAntónio Lopes, M. Amin Farajian, Rachel Bawden, et al.Annual Conference of the European Association for Machine Translation (EAMT) · 114 citations
2. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting EvidenceHung-Ting Chen, Michael Zhang, Eunsol ChoiConference on Empirical Methods in Natural Language Processing (EMNLP) · 103 citations
3. Selectively Answering Ambiguous QuestionsJeremy Cole, Michael Zhang, Daniel Gillick, et al.Conference on Empirical Methods in Natural Language Processing (EMNLP) · 78 citations
4. Entity Cloze By Date: What LMs Know About Unseen Entities (original ↗)Yasumasa Onoe et al.2022 · Findings of the Association for Computational… · 70 citations · no summary yet
5. Simple linear attention language models balance the recall-throughput tradeoff (original ↗)Simran Arora et al.2024 · arXiv:2402.18668 · 57 citations · no summary yet

🤝 Co-authors here

10 co-authors with a page, the most papers together first.

• André F. T. Martins
• António V. Lopes
• Bhuwan Dhingra
• Daniel Gillick
• Eunsol Choi
• Jacob Eisenstein
• Jeremy Cole
• Julian Eisenschlos
• Mohammad Amin Farajian
• Rachel Bawden

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Empirical Methods in Natural Language… ×2: 2023, 2022
• Annual Conference of the European Association for Machine…: 2020
• Findings of the Association for Computational Linguistics…

🔗 Cited by

Papers of our library cite their works 1,166 times (of the 141,840 papers whose bibliographies we read); 133 citing papers with a page here →.

Updated 24 October 2026

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