--- title: "Fanxu Meng · Peking University — author profile and papers" description: "Fanxu Meng, Peking University: 3 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/fanxu-meng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fanxu-meng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fanxu Meng # Fanxu Meng Fanxu Meng has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Muhan Zhang](https://md.research.elamur.ai/free/en/authors/muhan-zhang/), [Jiaqi Li](https://md.research.elamur.ai/free/en/authors/jiaqi-li/), [Song-Chun Zhu](https://md.research.elamur.ai/free/en/authors/song-chun-zhu/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139795075) · [**h-index 0**](https://openalex.org/authors/A5139795075) · [1 works](https://openalex.org/works?filter=author.id:A5139795075) · [0 citations](https://openalex.org/works?filter=author.id:A5139795075&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/fanxu-meng/#papers) · [🔗 Cited 119 times in our library](https://md.research.elamur.ai/free/en/authors/fanxu-meng/cited-by/) · [⭐ Paper Stars ranking: #7254](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7254) 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=Fanxu+Meng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fanxu+Meng) · [dblp](https://dblp.org/search?q=Fanxu+Meng) · [ACL Anthology](https://aclanthology.org/search/?q=Fanxu+Meng) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) 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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/fanxu-meng/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/fanxu-meng/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/fanxu-meng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models](https://md.research.elamur.ai/free/en/papers/meng-2024-pissa-principal-singular-values-singular/)** *(2024 · 86 citations)* LoRA is a widely used way to fine-tune large language models cheaply. It starts its two low-rank adapter matrices from random noise and zeros. The authors argue that this start gives weak, uninformative gradients early in training, so convergence is slow and may end in a worse solution. 2. **[Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners](https://md.research.elamur.ai/free/en/papers/tang-2023-large-language-models-context-semantic/)** *(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… 3. **[Law in Silico: Simulating Legal Society with LLM-Based Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-law-silico-simulating-legal-society/)** *(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. - [Muhan Zhang](https://md.research.elamur.ai/free/en/authors/muhan-zhang/) ×3 - [Jiaqi Li](https://md.research.elamur.ai/free/en/authors/jiaqi-li/) - [Song-Chun Zhu](https://md.research.elamur.ai/free/en/authors/song-chun-zhu/) - [Yiding Wang](https://md.research.elamur.ai/free/en/authors/yiding-wang/) - [Yitao Liang](https://md.research.elamur.ai/free/en/authors/yitao-liang/) - [Yuxuan Chen](https://md.research.elamur.ai/free/en/authors/yuxuan-chen/) - [Zilong Zheng](https://md.research.elamur.ai/free/en/authors/zilong-zheng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 119 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fanxu-meng/cited-by/). Updated 2 November 2026