--- title: "Beiduo Chen — author profile and papers · Reasoning" description: "Beiduo Chen, University of Cambridge: 4 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/beiduo-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/beiduo-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Beiduo Chen # Beiduo Chen Beiduo Chen has 4 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/), [Siyao Peng](https://md.research.elamur.ai/free/en/authors/siyao-peng/), [Anna Korhonen](https://md.research.elamur.ai/free/en/authors/anna-korhonen/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5073611983) · [**h-index 2**](https://openalex.org/authors/A5073611983) · [12 works](https://openalex.org/works?filter=author.id:A5073611983) · [5 citations](https://openalex.org/works?filter=author.id:A5073611983&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/beiduo-chen/#papers) · [🔗 Cited 33 times in our library](https://md.research.elamur.ai/free/en/authors/beiduo-chen/cited-by/) · [⭐ Paper Stars ranking: #8155](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8155) 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=Beiduo+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Beiduo+Chen) · [dblp](https://dblp.org/search?q=Beiduo+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Beiduo+Chen) ## Affiliations [🎓**Munich Center for Machine Learning** Munich · Germany 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/beiduo-chen/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/beiduo-chen/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/beiduo-chen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?](https://md.research.elamur.ai/free/en/papers/chen-2024-seeing-big-through-small-can/)** *(2024 · 18 citations)* When several annotators disagree on an NLI item for legitimate reasons, the spread of their labels is informative, and researchers capture it as a human judgment distribution (HJD). 2. **[A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI](https://md.research.elamur.ai/free/en/papers/chen-2025-rose-any-other-name-llm/)** *(2025 · 9 citations)* Human annotators often disagree on natural language inference (NLI) items. That disagreement can be recorded as a human judgment distribution (HJD), but measuring it well takes many annotators per item. Earlier work showed that LLMs can estimate HJDs from a few human labels paired with human-written explanations.… 3. **[LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/hong-2025-litex-linguistic-taxonomy-explanations-understanding/)** *(2025 · 8 citations)* Research on NLI disagreement usually studies annotators who choose different labels. This paper targets a less visible case: annotators who pick the same label but justify it in different ways. Highlighted spans, the usual structured form of explanation, cannot show this. Identical spans can hide different arguments… 4. **[Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations](https://md.research.elamur.ai/free/en/papers/hong-2026-agree-disagree-explain-decomposing-human/)** *(2026 · 3 citations)* NLI datasets often contain conflicting labels for the same premise–hypothesis pair. Earlier work with the LiTEx taxonomy studied only one kind of variation: annotators who pick the same label but justify it differently. This paper extends LiTEx to cases where the labels themselves diverge. One trained annotator… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/) ×4 - [Siyao Peng](https://md.research.elamur.ai/free/en/authors/siyao-peng/) ×4 - [Anna Korhonen](https://md.research.elamur.ai/free/en/authors/anna-korhonen/) ×2 - [Marie-Catherine de Marneffe](https://md.research.elamur.ai/free/en/authors/marie-catherine-de-marneffe/) ×2 - [Pingjun Hong](https://md.research.elamur.ai/free/en/authors/pingjun-hong/) ×2 - [Benjamin Roth](https://md.research.elamur.ai/free/en/authors/benjamin-roth/) - [Robert Litschko](https://md.research.elamur.ai/free/en/authors/robert-litschko/) - [Xinpeng Wang](https://md.research.elamur.ai/free/en/authors/xinpeng-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2025](https://md.research.elamur.ai/free/en/venues/findings/2025/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 33 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/beiduo-chen/cited-by/). Updated 30 October 2026