--- title: "Sitao Cheng — author profile and papers — Elamur Research" description: "Sitao Cheng: 3 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/sitao-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sitao-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sitao Cheng # Sitao Cheng Sitao Cheng has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/), [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/), [Wenyue Hua](https://md.research.elamur.ai/free/en/authors/wenyue-hua/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5101277493) · [**h-index 6**](https://openalex.org/authors/A5101277493) · [18 works](https://openalex.org/works?filter=author.id:A5101277493) · [71 citations](https://openalex.org/works?filter=author.id:A5101277493&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/sitao-cheng/#papers) · [🔗 Cited 52 times in our library](https://md.research.elamur.ai/free/en/authors/sitao-cheng/cited-by/) · [⭐ Paper Stars ranking: #8620](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8620) 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=Sitao+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sitao+Cheng) · [dblp](https://dblp.org/search?q=Sitao+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Sitao+Cheng) ## Affiliations [🎓**University of California, Santa Barbara** Santa Barbara · United States 2023–2025 · 11 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🎓**Nanjing University** Nanjing · China 2023–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🏢**Microsoft** Redmond · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Waterloo** Waterloo · Canada 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sitao-cheng/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/sitao-cheng/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Disentangling Memory and Reasoning Ability in Large Language Models](https://md.research.elamur.ai/free/en/papers/jin-2025-disentangling-memory-reasoning-ability-large/)** *(2025 · 45 citations)* Large language models typically answer knowledge-heavy questions with one undivided chain of thought. This makes it hard to tell whether a wrong answer comes from missing facts or from faulty logic, and the blending is associated with knowledge being lost mid-chain and with hallucination. 2. **[RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios](https://md.research.elamur.ai/free/en/papers/zhou-2025-rulearena-benchmark-rule-guided-reasoning/)** *(2025 · 21 citations)* Benchmarks of LLM instruction-following mostly check style constraints such as format or length, or they test simple first-order logic. RuleArena instead tests whether models can reason under real regulations written in natural language. The authors gathered 95 rules from three domains: 3. **[LEDOM: Reverse Language Model](https://md.research.elamur.ai/free/en/papers/yin-2026-ledom-reverse-language-model/)** *(2026)* Standard autoregressive language models are trained only in the left-to-right direction. The authors ask what happens if the opposite factorization is trained at scale, with each token predicted from the text that follows it. They build LEDOM, a purely right-to-left decoder-only model at 2B and 7B parameters. It is… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) ×3 - [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/) ×2 - [Wenyue Hua](https://md.research.elamur.ai/free/en/authors/wenyue-hua/) ×2 - [Xinyi Wang](https://md.research.elamur.ai/free/en/authors/xinyi-wang/) ×2 - [Li Lin](https://md.research.elamur.ai/free/en/authors/li-lin/) - [Mingyu Jin](https://md.research.elamur.ai/free/en/authors/mingyu-jin/) - [Ruiwen Zhou](https://md.research.elamur.ai/free/en/authors/ruiwen-zhou/) - [Ruixiang Tang](https://md.research.elamur.ai/free/en/authors/ruixiang-tang/) - [Weidi Luo](https://md.research.elamur.ai/free/en/authors/weidi-luo/) - [Xiaobao Wu](https://md.research.elamur.ai/free/en/authors/xiaobao-wu/) - [Xiaojun Wan](https://md.research.elamur.ai/free/en/authors/xiaojun-wan/) - [Xinyu Hu](https://md.research.elamur.ai/free/en/authors/xinyu-hu/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 ## Cited by Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sitao-cheng/cited-by/). Updated 2 November 2026