Elamur Research⌕
☰
home / authors / Shuting Wang

Shuting Wang

Shuting Wang has 3 papers in our library, in 2025, most of them on Language models & pretraining, Evaluation & benchmarks, Information retrieval & search; often with Zhicheng Dou, Yutao Zhu, Dawei Yin.

3 papers in our library · 2025

OpenAlex · ORCID · h-index 4 · 7 works · 231 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 38 times in our library · ⭐ Paper Stars ranking: #7428

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

🎓Renmin University of ChinaBeijing · China2023–2025 · 7 paperscurrent🏢BaiduBeijing · China2024–2025 · 2 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLMs + Persona-Plug = Personalized LLMs (2025 · 31 citations)
    Making LLMs adapt to individual users usually means either training a separate model per user, which is costly and fails when user data is scarce, or retrieving a few relevant past texts as demonstrations.
  2. OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain (2025 · 24 citations)
    Existing RAG benchmarks tend to cover few scenarios and judge systems along few dimensions. This makes it hard to see how retrieval-augmented systems behave in specialised fields such as finance. OmniEval addresses this with a Chinese-language financial benchmark built on a two-axis grid that crosses five task types…
  3. RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation (2025 · 10 citations)
    Most retrieval-augmented generation (RAG) research targets questions with a clear intent and a short answer.

 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 38 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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