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cs.AI2026
Harnessing LLM Agents with Skill Programs
Hongjun Liu, Yifei Ming, Shafiq Joty +1
Equipping LLM agents with reusable skills derived from past experience has become a popular and successful approach for tackling complex and long-horizon tasks. However, such lesso…
cs.AI2025
SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning
Ruohao Li, Hongjun Liu, Leyi Zhao +7
Large language model (LLM) agents have shown remarkable reasoning abilities. However, existing multi-agent frameworks often rely on fixed roles or centralized control, limiting sca…
cs.AI2025
MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning
Hongjun Liu, Yinghao Zhu, Yuhui Wang +4
Recent progress in multimodal large language models (MLLMs) has demonstrated promising performance on medical benchmarks and in preliminary trials as clinical assistants. Yet, our…