--- title: "Chenming Tang · Peking University — author profile and papers" description: "Chenming Tang, Peking University: 3 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/chenming-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chenming-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chenming Tang # Chenming Tang Chenming Tang has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Grammatical error correction & learner language](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/); often with [Yunfang Wu](https://md.research.elamur.ai/free/en/authors/yunfang-wu/), [Weijie Liu](https://md.research.elamur.ai/free/en/authors/weijie-liu/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5123017886) · [**h-index 0**](https://openalex.org/authors/A5123017886) · [7 works](https://openalex.org/works?filter=author.id:A5123017886) · [0 citations](https://openalex.org/works?filter=author.id:A5123017886&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chenming-tang/#papers) · [🔗 Cited 15 times in our library](https://md.research.elamur.ai/free/en/authors/chenming-tang/cited-by/) · [⭐ Paper Stars ranking: #9180](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9180) 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=Chenming+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chenming+Tang) · [dblp](https://dblp.org/search?q=Chenming+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Chenming+Tang) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Grammatical error correction & learner language · 1 work](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chenming-tang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chenming-tang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task](https://md.research.elamur.ai/free/en/papers/qu-2023-evaluating-capability-large-scale-language/)** *(2023 · 15 citations)* This report asks whether instruction-following large language models can handle Chinese grammatical error correction (CGEC) as well as dedicated systems. 2. **[Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error](https://md.research.elamur.ai/free/en/papers/tang-2026-do-not-step-into-same/)** *(2026 · 3 citations)* RLVR training such as GRPO learns only from the model's own sampled answers. When every rollout for a hard problem is wrong, the group-relative advantages all become zero and the problem yields no gradient. The authors call this exploration stagnation. Existing fixes depend on human-written solutions or traces from… 3. **[Aligning Language Models with Real-time Knowledge Editing](https://md.research.elamur.ai/free/en/papers/tang-2026-aligning-language-models-real-time/)** *(2026)* Most knowledge-editing benchmarks are frozen snapshots, and LMs have often already seen much of their content. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Yunfang Wu](https://md.research.elamur.ai/free/en/authors/yunfang-wu/) ×3 - [Weijie Liu](https://md.research.elamur.ai/free/en/authors/weijie-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chenming-tang/cited-by/). Updated 1 November 2026