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Xiaochong Lan

Xiaochong Lan has 2 papers in our library, in 2023–2025, most of them on Reasoning; often with Fengli Xu, Chen Gao, Chenyang Shao.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 10 · 24 works · 657 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 199 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4428

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

🎓Tsinghua UniversityBeijing · China2022–2026 · 22 paperscurrent🏢MeituanBeijing · China2025 · 2 papers

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksDecision Sciences · 1 workComputational Theory and Mathematics · 1 workManagement Science and Operations Research · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives (2023 · 344 citations)
    This survey from Tsinghua University reviews a young research area: using large language models as the decision-making core of agents in agent-based modeling and simulation.
  2. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models (2025 · 120 citations)
    LLMs are increasingly used for complex, multi-step reasoning. Training them on human-written step-by-step solutions is very expensive. This survey, by a team mostly from Tsinghua University, describes how the field is moving toward "large reasoning models": systems whose reasoning improves when more compute is spent…

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. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and PerspectivesHumanities and Social Sciences CommunicationsChen Gao, Xiaochong Lan, Nian Li, et al.2023 · 344 citations
  2. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
  3. Stance Detection with Collaborative Role-Infused LLM-Based Agents ↗arXiv:2310.10467 · no summary yetXiaochong Lan et al.2023 · 99 citations

 Co-authors here

9 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 199 times (of the 149,439 papers whose bibliographies we read); 54 citing papers with a page here →.

Updated

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