---
title: "Michael Zhang — author profile and papers · Machine translation"
description: "Michael Zhang: 3 papers on Elamur Research (2020–2023), h-index 31 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/michael-zhang/"
---
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# Michael Zhang

Michael Zhang has 3 papers in our library, in 2020–2023, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [André F. T. Martins](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/), [António V. Lopes](https://md.research.elamur.ai/free/en/authors/antonio-v-lopes/), [Bhuwan Dhingra](https://md.research.elamur.ai/free/en/authors/bhuwan-dhingra/).

3 papers in our library · 2020–2023

[OpenAlex](https://openalex.org/A5100612833) · [ORCID](https://orcid.org/0000-0002-4647-3888) · [**h-index 31**](https://openalex.org/authors/A5100612833) · [142 works](https://openalex.org/works?filter=author.id:A5100612833) · [6,873 citations](https://openalex.org/works?filter=author.id:A5100612833&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/michael-zhang/#papers) · [🔗 Cited 1,166 times in our library](https://md.research.elamur.ai/free/en/authors/michael-zhang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4210](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4210)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Michael+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Michael+Zhang) · [dblp](https://dblp.org/search?q=Michael+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Michael+Zhang)

## Affiliations

[🎓**University of California, Davis** Davis · United States 1998–2025 · 87 papersEmployment since 1998 · Professor, Civil and Environmental Engineering](https://md.research.elamur.ai/free/en/universities/university-of-california-davis/) · [🎓**Tongji University** Shanghai · China 2004–2021 · 14 papers](https://md.research.elamur.ai/free/en/universities/tongji-university/) · [🎓**Stanford University** Stanford · United States 2022–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**The University of Texas at Austin** Austin · United States 2022–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**Saint Mary's University** Halifax · Canada 2023–2024 · 2 papers](https://ror.org/010zh7098) · [🏢**BP** Houston · United States 2019–2022 · 2 papers](https://ror.org/051659894) · [🎓**University of Washington** Seattle · United States 2019–2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of California, Berkeley** Berkeley · United States 2010–2017 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

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.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2023** 1 paper Selectively Answering Ambiguous Questions](https://md.research.elamur.ai/free/en/papers/cole-2023-selectively-answering-ambiguous-questions/) · [**2022** 1 paper Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence](https://md.research.elamur.ai/free/en/papers/chen-2022-rich-knowledge-sources-bring-complex/) · [**2020** 1 paper Document-level Neural MT: A Systematic Comparison](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Document-level Neural MT: A Systematic Comparison](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/)** *(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](https://md.research.elamur.ai/free/en/papers/chen-2022-rich-knowledge-sources-bring-complex/)** *(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](https://md.research.elamur.ai/free/en/papers/cole-2023-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 Comparison](https://md.research.elamur.ai/free/en/papers/lopes-2020-document-level-neural-mt-systematic/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**António Lopes, M. Amin Farajian, Rachel Bawden, et al.*2020 · 114 citations*
2. **[Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence](https://md.research.elamur.ai/free/en/papers/chen-2022-rich-knowledge-sources-bring-complex/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hung-Ting Chen, Michael Zhang, Eunsol Choi*2022 · 103 citations*
3. **[Selectively Answering Ambiguous Questions](https://md.research.elamur.ai/free/en/papers/cole-2023-selectively-answering-ambiguous-questions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jeremy Cole, Michael Zhang, Daniel Gillick, et al.*2023 · 78 citations*
4. **[Entity Cloze By Date: What LMs Know About Unseen Entities](https://aclanthology.org/2022.findings-naacl.52/) Findings of the Association for Computational Linguistics: NAACL 2022 · original ↗ · no summary yet**Yasumasa Onoe et al.*2022 · 70 citations*
5. **[Simple linear attention language models balance the recall-throughput tradeoff](https://arxiv.org/abs/2402.18668) arXiv:2402.18668 · original ↗ · no summary yet**Simran Arora et al.*2024 · 57 citations*

## Co-authors here

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

- [André F. T. Martins](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/)
- [António V. Lopes](https://md.research.elamur.ai/free/en/authors/antonio-v-lopes/)
- [Bhuwan Dhingra](https://md.research.elamur.ai/free/en/authors/bhuwan-dhingra/)
- [Daniel Gillick](https://md.research.elamur.ai/free/en/authors/daniel-gillick/)
- [Eunsol Choi](https://md.research.elamur.ai/free/en/authors/eunsol-choi/)
- [Jacob Eisenstein](https://md.research.elamur.ai/free/en/authors/jacob-eisenstein/)
- [Jeremy Cole](https://md.research.elamur.ai/free/en/authors/jeremy-cole/)
- [Julian Eisenschlos](https://md.research.elamur.ai/free/en/authors/julian-eisenschlos/)
- [Mohammad Amin Farajian](https://md.research.elamur.ai/free/en/authors/mohammad-amin-farajian/)
- [Rachel Bawden](https://md.research.elamur.ai/free/en/authors/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 Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/), [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/)
- [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/): [EAMT 2020](https://md.research.elamur.ai/free/en/venues/eamt/2020/)
- Findings of the Association for Computational Linguistics: NAACL 2022

## 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 →](https://md.research.elamur.ai/free/en/authors/michael-zhang/cited-by/).

Updated 24 October 2026
