Zhenfei Yin
Zhenfei Yin has 2 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks; often with Aishan Liu, Biqing Qi, Bowen Zhou.
OpenAlex · ORCID · h-index 9 · 54 works · 469 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 55 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8018
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 workInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work
Works by year
2020s
Papers
- Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System (2025 · 40 citations)
Most LLM tools for automated research ideation use a single agent or rely on artificial collaboration setups, such as invented researcher profiles or synthetic co-author networks. - SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents (2026 · 3 citations)
Web agents built on large vision–language models (LVLMs) can browse sites, fill in forms and run multi-step tasks.
All works
- Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyang Su, Renqi Chen, Shixiang Tang, et al.2025 · 40 citations
- Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review ↗arXiv:2412.01708 · no summary yetRui Ye et al.2024 · 35 citations
- SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web AgentsFindings of the Association for Computational LinguisticsZonghao Ying, Yangguang Shao, Jianle Gan, et al.2026 · 3 citations
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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