2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2026
CoCoBench: A Cooperative Coordination Benchmark for Embodied Multi-Agent Task Planning
Yang Chen, Ye-Xin Xie, Lirong Che +8
Agent systems powered by multimodal large language models (MLLMs) have advanced rapidly in recent years, yet existing embodied-agent benchmarks still lack fine-grained diagnostics…
cs.AI2026
DemoEvolve: Overcoming Sparse Feedback in Agentic Harness Evolution with Demonstrations
Lirong Che, Yuzhe yang, Peiwen lin +3
Agent harness evolution improves frozen language-model agents by modifying the executable structures around them. We study this paradigm as a form of sample-efficient fast adaptati…
cs.AI2024★ 2 cited
CACA Agent: Capability Collaboration based AI Agent
Peng Xu, Haoran Wang, Chuang Wang +1
As AI Agents based on Large Language Models (LLMs) have shown potential in practical applications across various fields, how to quickly deploy an AI agent and how to conveniently e…