--- title: "Sihao Chen — author profile and papers" description: "Sihao Chen, Fujian Medical University: 2 papers on Elamur Research (2020–2024), h-index 16 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/sihao-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sihao-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sihao Chen # Sihao Chen Sihao Chen works on evaluating natural language processing systems. The papers here ask whether models that score well on standard benchmarks actually behave correctly, and how reliable their answers and cited sources are when the questions come from real professional practice. The methods centre on building evaluation resources by hand: careful human edits to existing test items, and questions and judgements gathered from domain experts. This places the work within [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/). The most cited paper here is [Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) (2020). It argues that when test sets mirror the training distribution, models can succeed through shallow shortcuts. As a remedy, it proposes that dataset authors write small, meaningful edits to test instances, edits that usually flip the correct label. The resulting groups of variants show whether a model's decisions hold up close to real examples, and a consistency measure complements plain accuracy. The second paper, [ExpertQA](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) (2024), turns to large language models used by specialists. Trained practitioners across many fields, including medicine and law, wrote hard questions from their own work. They then judged the factuality and attribution of answers from generative, retrieve-and-read and post-hoc attribution systems, claim by claim. Taken together, the papers move from probing classifier robustness toward checking factual grounding and citation quality in long-form answers. Chen's earlier bylines include the [University of Pennsylvania](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) and [Google](https://md.research.elamur.ai/free/en/companies/google/). Co-authors on these papers include [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/), [Chaitanya Malaviya](https://md.research.elamur.ai/free/en/authors/chaitanya-malaviya/), [Jonathan Berant](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) and [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/). Sihao Chen has 2 papers in our library, in 2020–2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ally Zhang](https://md.research.elamur.ai/free/en/authors/ally-zhang/), [Ben Bogin](https://md.research.elamur.ai/free/en/authors/ben-bogin/), [Chaitanya Malaviya](https://md.research.elamur.ai/free/en/authors/chaitanya-malaviya/). 2 papers in our library · 2020–2024 [OpenAlex](https://openalex.org/A5101823158) · [ORCID](https://orcid.org/0000-0001-6401-9366) · [**h-index 16**](https://openalex.org/authors/A5101823158) · [89 works](https://openalex.org/works?filter=author.id:A5101823158) · [1,524 citations](https://openalex.org/works?filter=author.id:A5101823158&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sihao-chen/#papers) · [🔗 574 citations in our library](https://md.research.elamur.ai/free/en/authors/sihao-chen/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Star rank #2643](https://md.research.elamur.ai/free/en/paper-stars/page/27/#star-2643) 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=Sihao+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sihao+Chen) · [dblp](https://dblp.org/search?q=Sihao+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Sihao+Chen) ## Affiliations [🎓**Shanghai University of Engineering Science** Shanghai · China 2006–2026 · 11 papers*current*](https://ror.org/0557b9y08) · [🎓**Hunan University** Changsha · China 2026 · 4 papers*current*](https://ror.org/05htk5m33) · [🏛️**Guangzhou Laboratory** Guangzhou 2025–2026 · 2 papers*current*](https://ror.org/03ybmxt82) · [🎓**Guangzhou Medical University** Guangzhou · China 2025–2026 · 2 papers*current*](https://ror.org/00zat6v61) · [🎓**Fujian Medical University** Fuzhou · China 2026 · 1 paper*current*](https://ror.org/050s6ns64) · [🎓**Hunan University of Traditional Chinese Medicine** Changsha · China 2026 · 1 paper*current*](https://ror.org/05qfq0x09) · [🏥**Second Affiliated Hospital of Hunan University of Traditional Chinese Medicine** Changsha · China 2026 · 1 paper*current*](https://ror.org/03jwxc595) · [🎓**University of Pennsylvania** Philadelphia · United States 2019–2025 · 17 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🎓**National University of Defense Technology** Changsha · China 2022–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Washington University in St. Louis** St Louis · United States 2019–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/washington-university-in-st-louis/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 32 more institutions on single bylines are not listed. ## Topics [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) ## Papers The most cited first (OpenAlex and our library). 1. **[Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)** *(2020 · 520 citations)* Standard test sets come from the same distribution as the training data, so a dataset with systematic gaps or annotation artifacts lets models score well with shallow heuristics. 2. **[ExpertQA: Expert-Curated Questions and Attributed Answers](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/)** *(2024 · 109 citations)* LLMs are increasingly used by specialists, but it is unclear how factual their answers are and how well their citations hold up in specific professional fields, especially high-risk ones like medicine and law. ## Also in our library 5 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 25 co-authors with a page, the most papers together first. - [Ally Zhang](https://md.research.elamur.ai/free/en/authors/ally-zhang/) - [Ben Bogin](https://md.research.elamur.ai/free/en/authors/ben-bogin/) - [Chaitanya Malaviya](https://md.research.elamur.ai/free/en/authors/chaitanya-malaviya/) - [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/) - [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/) - [Dheeru Dua](https://md.research.elamur.ai/free/en/authors/dheeru-dua/) - [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) - [Gabriel Ilharco](https://md.research.elamur.ai/free/en/authors/gabriel-ilharco/) - [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) - [Jiangming Liu](https://md.research.elamur.ai/free/en/authors/jiangming-liu/) - [Jonathan Berant](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) - [Kevin Lin](https://md.research.elamur.ai/free/en/authors/kevin-lin/) ## Cited by Papers of our library cite their works 574 times (of the 140,884 papers whose bibliographies we read); [53 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sihao-chen/cited-by/).