--- title: "Xuxin Cheng — author profile and papers — Elamur Research" description: "Xuxin Cheng, Meituan: 5 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xuxin-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuxin-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuxin Cheng # Xuxin Cheng Xuxin Cheng has 5 papers in our library, in 2024–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Cao Liu](https://md.research.elamur.ai/free/en/authors/cao-liu/), [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/), [Wenyuan Jiang](https://md.research.elamur.ai/free/en/authors/wenyuan-jiang/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139753533) · [**h-index 0**](https://openalex.org/authors/A5139753533) · [12 works](https://openalex.org/works?filter=author.id:A5139753533) · [0 citations](https://openalex.org/works?filter=author.id:A5139753533&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/#papers) · [🔗 Cited 15 times in our library](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/cited-by/) · [⭐ Paper Stars ranking: #10474](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10474) 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=Xuxin+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuxin+Cheng) · [dblp](https://dblp.org/search?q=Xuxin+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Xuxin+Cheng) ## Affiliations [🏢**Meituan** Beijing · China 2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/companies/meituan/) 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 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 5 Research subjects and languages the work is about.[Evaluation & benchmarks · 3 works](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/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ye-2024-excgec-benchmark-edit-wise-explainable/)** *(2024 · 15 citations)* Most grammatical error correction (GEC) systems return only a corrected sentence. This leaves second-language learners unsure what was wrong. Earlier explanation research also handled explaining apart from correcting. The authors define EXGEC, a task in which one model both fixes a text and justifies each edit. They… 2. **[SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-silo-bench-scalable-environment-evaluating/)** *(2026 · 2 citations)* Multi-agent LLM setups are often proposed as a way around context-window limits: each agent holds part of the data, and together they should compute a global answer. 3. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/)** *(2026)* Large audio language models are mostly autoregressive. They need a lot of data and compute to scale, and their token-by-token decoding slows inference. The earlier DIFFA work showed that a diffusion LLM backbone can help audio understanding, but only at a small, proof-of-concept scale. DIFFA-2 develops this into a… 4. **[MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-mmra-benchmark-evaluating-multi-granularity/)** *(2026)* Existing multimodal benchmarks mostly test facts within a single image. Earlier multi-image suites such as MuirBench and MIRB ask factual questions and do not probe the commonsense links between pictures or whether a model tracks their order. The authors introduce a multi-image relation association task and MMRA, a… 5. **[When 20 Agents Fail to Sort: The Distributed Sorting Benchmark for Scalable Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-when-20-agents-fail-sort/)** *(2026)* The paper examines whether LLM-based agents can coordinate without heavy human scaffolding, such as predefined roles or scripted pipelines. ## Co-authors here 12 of 31 co-authors with a page, the most papers together first. - [Cao Liu](https://md.research.elamur.ai/free/en/authors/cao-liu/) ×3 - [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/) ×3 - [Wenyuan Jiang](https://md.research.elamur.ai/free/en/authors/wenyuan-jiang/) ×2 - [Xin Yang](https://md.research.elamur.ai/free/en/authors/xin-yang/) ×2 - [Feiran Liu](https://md.research.elamur.ai/free/en/authors/feiran-liu/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Hai-Tao Zheng](https://md.research.elamur.ai/free/en/authors/hai-tao-zheng/) - [Haoning Wu](https://md.research.elamur.ai/free/en/authors/haoning-wu/) - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) - [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/) - [Jingheng Ye](https://md.research.elamur.ai/free/en/authors/jingheng-ye/) - [King Zhu](https://md.research.elamur.ai/free/en/authors/king-zhu/) ## 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/) ×3 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2024](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/) ## Cited by Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/cited-by/). Updated 2 November 2026