🧑‍🔬 Wanli Ouyang

Affiliations

• Shanghai Artificial Intelligence Laboratory · Shanghai, China — current · 2022–2026 on 232 papers
• Chinese University of Hong Kong · Hong Kong, Hong Kong — current · 2008–2026 on 101 papers · employment 2013–2017 (Wikidata)
• The University of Sydney · Sydney, Australia — 2017–2025 on 212 papers · employment from 2017 (Wikidata)
• Fudan University · Shanghai, China — 2025 on 2 papers
• Sensetime (China) · Beijing, China — 2019–2024 on 5 papers
• University of Oxford · Oxford, United Kingdom — 2024 on 2 papers
• Shenzhen Institutes of Advanced Technology · Shenzhen, China — 2013 on 2 papers
• Beijing University of Technology · Beijing, China — 2005–2006 on 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed.

Topics

Language models & pretraining2Machine translation1Dialogue systems1Evaluation & benchmarks1

Works by year

2020s

Papers

The most cited first (OpenAlex and our library).

1. MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues (2024 · 171 citations)
   Existing LLM benchmarks mostly test single-turn instructions. Multi-turn ones such as MT-Bench cover only two turns and broad skill categories, so they miss much of what happens in real chatbot conversations. MT-Bench-101 fills this gap with a fine-grained multi-turn benchmark. The authors studied real user–chatbot…
2. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling (2025 · 41 citations)
   The paper asks how extra inference-time computation should be spent and whether small models can beat much larger ones when it is spent well.

Also in our library

11 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

5 co-authors with a page, the most papers together first.

• Bo Zheng
• Bowen Zhou
• Jiaheng Liu
• Jian Zhao
• Jie Liu

Cited by

Papers of our library cite their works 666 times (of the 140 884 papers whose bibliographies we read); 17 citing papers with a page here →.

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