🧑‍🔬 Wen-wai Yim

🏛️ Affiliations

🏢MicrosoftRedmond · United States2023–2026 · 21 paperscurrent🎓University of WashingtonSeattle · United States2015–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question Answering (2026 · 11 citations)
   Automatic scores like BLEU, ROUGE and BERTScore are poor judges of free-text medical answers. Many different answers can be equally correct, and a reply that shares wording with the reference can still be clinically wrong. The authors present MORQA (Medical Open-Response QA), a bilingual English–Chinese benchmark for…
2. Response Content Units: Evaluating Completeness and Proactiveness in Medical Open-Response Question Answering (2026)
   Patient messages sent through remote-care portals are often messy. They may bundle several concerns, contain no explicit question at all, or call for clinical advice the patient never asked for. Standard QA benchmarks use clean one-question-one-answer pairs, and reference-based metrics tend to penalize "extra"…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetAsma Ben Abacha et al.2023 · 99 citations
2. MORQA: Benchmarking Evaluation Metrics for Medical Open-Ended Question AnsweringLanguage Resources and Evaluation Conference (LREC)Wen-wai Yim, Asma Ben Abacha, Zixuan Yu, et al.2026 · 11 citations
3. Response Content Units: Evaluating Completeness and Proactiveness in Medical Open-Response Question AnsweringWorkshop on Generation, Evaluation and Metrics (GEM)Yongsin Park, Wen-wai Yim, Emma McKibbin, et al.2026
4. HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026
5. Scaling medical imaging report generation with multimodal reinforcement learning ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026

🤝 Co-authors here

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

• Asma Ben Abacha ×2
• Fei Xia ×2
• Meliha Yetisgen

Venues

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

• Workshop on Generation, Evaluation and Metrics (GEM): GEM 2026
• Language Resources and Evaluation Conference (LREC): LREC 2026
• Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

🔗 Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated 1 November 2026

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