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Fanxu Meng

Fanxu Meng has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Legal AI; often with Muhan Zhang, Jiaqi Li, Song-Chun Zhu.

2 papers in our library · 2023–2026

OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 40 times in our library · ⭐ Paper Stars ranking: #7707

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

🎓Peking UniversityBeijing · China2026 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSocial Sciences · 1 workPolitical Science and International Relations · 1 workSafety Research · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workLegal AI · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners (2023 · 52 citations)
    This work asks where the apparent few-shot reasoning skill of LLMs actually comes from. The authors argue that it depends largely on token meanings absorbed during pretraining, which let models link concepts into shallow shortcut chains instead of applying rules formally. To test this, they remove or invert semantics…
  2. Law in Silico: Simulating Legal Society with LLM-Based Agents (2026 · 2 citations)
    Testing legal theories or policies in the real world is often expensive or impossible. This paper asks whether LLM-driven agents can act as a stand-in "legal society" for such experiments. The authors build Law in Silico, a framework with three parts. Agents get hierarchical profiles drawn from sociological…

 Co-authors here

7 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 40 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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