--- title: "Yiding Wang · Peking University — author profile and papers" description: "Yiding Wang, Peking University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yiding-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yiding-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yiding Wang # Yiding Wang Yiding Wang has 2 papers in our library, in 2026, most of them on [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/), [Fanxu Meng](https://md.research.elamur.ai/free/en/authors/fanxu-meng/), [Yuxuan Chen](https://md.research.elamur.ai/free/en/authors/yuxuan-chen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139755887) · [**h-index 0**](https://openalex.org/authors/A5139755887) · [2 works](https://openalex.org/works?filter=author.id:A5139755887) · [0 citations](https://openalex.org/works?filter=author.id:A5139755887&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yiding-wang/#papers) · [🔗 Cited 2 times in our library](https://md.research.elamur.ai/free/en/authors/yiding-wang/cited-by/) · [⭐ Paper Stars ranking: #11314](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11314) 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=Yiding+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yiding+Wang) · [dblp](https://dblp.org/search?q=Yiding+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yiding+Wang) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 2 papers*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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yiding-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation](https://md.research.elamur.ai/free/en/papers/tang-2026-knowledge-is-not-enough-injecting/)** *(2026)* LLMs cannot absorb information that appears after their training cutoff. Supervised fine-tuning (SFT) on new documents can store the facts, but the model often still fails to use them when answering questions or acting as an agent. Reinforcement learning (RL) teaches that kind of skill, yet it is too costly to rerun… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Muhan Zhang](https://md.research.elamur.ai/free/en/authors/muhan-zhang/) ×2 - [Fanxu Meng](https://md.research.elamur.ai/free/en/authors/fanxu-meng/) - [Yuxuan Chen](https://md.research.elamur.ai/free/en/authors/yuxuan-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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 2 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/yiding-wang/cited-by/). Updated 1 November 2026