From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 42 more institutions on single bylines are not listed.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works Literature and Literary Theory · 1 work Safety Research · 1 work Social Sciences · 1 work

🧭 Topics 1Vision & language · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning (2025 · 71 citations)
The paper asks how LLM agents can be trained with reinforcement learning to improve through their own experience in interactive settings.
CANVAS: A Multimodal Dataset of Chinese Textbook Images for Bias and Representation Analysis (2026)
Most bias benchmarks for Chinese (e.g., CHBias, CBBQ, McBE) target text, and vision fairness datasets such as FairFace or VISOGENDER deal with single faces or occupational pictures.

Co-authors here

8 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.

Language Resources and Evaluation Conference (LREC): LREC 2026

Cited by

Papers of our library cite their works 68 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated 2 November 2026

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

🧑‍🔬 Kefan Yu

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Kefan Yu

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by