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Fengli Xu

Fengli Xu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Boyi Deng, Chenyang Shao, Dayiheng Liu.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 29 · 112 works · 3,193 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 175 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #10700

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 · China2015–2026 · 112 papersEducation · PhDEmployment since 2023 · Assistant Professor, Electronic Engineeringcurrent🔬Beijing National Research Center for Information Science and TechnologyBeijing · China2018–2026 · 36 paperscurrent🎓University of ChicagoChicago · United States2020–2025 · 12 papersEmployment 2020–2023 · Postdoc🎓Hong Kong University of Science and TechnologyHong Kong · China2021 · 3 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 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 2 works

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Controllable LLM Reasoning via Sparse Autoencoder-Based Steering (2026 · 3 citations)
    Large Reasoning Models (LRMs) choose their own reasoning moves, such as re-checking or backtracking, and these choices can lead to wasted effort or wrong answers.
  2. Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for Reasoning (2026 · 1 citation)
    Multi-step reasoning methods such as Chain-of-Thought and Tree-of-Thought are expensive because autoregressive LLMs must decode every candidate step one token at a time.

All works

6 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 Perspectives ↗arXiv:2312.11970 · no summary yetChen Gao et al.2023 · 344 citations
  2. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models ↗arXiv:2501.09686 · no summary yetFengli Xu et al.2025 · 120 citations
  3. Understanding Motivations behind Inaccurate Check-ins ↗Proceedings of the ACM on Human-Computer Interaction · no summary yetFengli Xu et al.2018 · 10 citations
  4. Controllable LLM Reasoning via Sparse Autoencoder-Based SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Fang, Wenjie Wang, Mingfeng Xue, et al.2026 · 3 citations
  5. Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chenyang Shao, Sijian Ren, Fengli Xu, et al.2026 · 1 citation
  6. Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System Design ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetZhilun Zhou et al.2026

 Co-authors here

8 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 175 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

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