🧑‍🔬 Guancheng Wan

🏛️ Affiliations

🎓Wuhan UniversityWuhan · China2023–2026 · 34 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2026 · 4 paperscurrent🎓University of California, BerkeleyBerkeley · United States2026 · 1 papercurrent🎓Emory UniversityAtlanta · United States2024–2025 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. MasRouter: Learning to Route LLMs for Multi-Agent Systems (2025 · 35 citations)
   LLM-based multi-agent systems (MAS) often outperform single agents, but they consume many tokens. Existing LLM routers choose one model per query, so they only fit single-agent setups. They ignore how agents should cooperate and which roles they should play. The authors formalize this broader task as Multi-Agent…
2. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems (2025 · 30 citations)
   Multi-agent systems built on LLMs inherit the weaknesses of single agents. They also gain a new one: a compromised agent can spread misinformation or malicious instructions through inter-agent communication until much of the system is corrupted. G-Safeguard defends against this by treating the system's communication…
3. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning (2026 · 6 citations)
   Scaling laws are well established for LLM pre-training, but little is known about how they behave when reinforcement learning is applied after pre-training.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
2. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shilong Wang, Guibin Zhang, Miao Yu, et al.2025 · 30 citations
3. Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zelin Tan, Hejia Geng, Xiaohang Yu, et al.2026 · 6 citations
4. Multiplayer Nash Preference Optimization ↗arXiv (Cornell University) · no summary yetFang Wu et al.2025 · 2 citations
5. UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement ↗arXiv (Cornell University) · no summary yetFang Wu et al.2026

🤝 Co-authors here

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

• Guibin Zhang ×2
• Kun Wang ×2
• Yang Wang
• Yanwei Yue
• Yifan Zhou
• Yiyan Qi
• Zhong-Zhi Li

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) ×3: ACL 2026, ACL 2025 ×2

🔗 Cited by

Papers of our library cite their works 48 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated 1 November 2026

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