Elamur Research⌕
☰
home / authors / Sitao Cheng

Sitao Cheng

Sitao Cheng has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining, Evaluation & benchmarks; often with Wenyue Hua, William Yang Wang, Liangming Pan.

2 papers in our library · 2025

OpenAlex · h-index 6 · 18 works · 71 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 52 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7417

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of California, Santa BarbaraSanta Barbara · United States2023–2025 · 11 papers🎓Nanjing UniversityNanjing · China2023–2025 · 10 papers🏢MicrosoftRedmond · United States2024–2025 · 2 papers🎓University of WaterlooWaterloo · Canada2025 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Disentangling Memory and Reasoning Ability in Large Language Models (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 (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:

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Disentangling Memory and Reasoning Ability in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Jin, Weidi Luo, Sitao Cheng, et al.2025 · 45 citations
  2. RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiwen Zhou, Wenyue Hua, Liangming Pan, et al.2025 · 21 citations
  3. LEDOM: Reverse Language Model ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXunjian Yin et al.2026

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sitao-cheng/