2 papers
cs.AI2026
EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery
Amy Xin, Jiening Siow, Junjie Wang +5
LLM-based agents have shown increasing potential in automating scientific discovery. Given an optimizable metric and an execution environment, they can propose, validate, and itera…
cs.CL2026
CoWork-X: Experience-Optimized Co-Evolution for Multi-Agent Collaboration System
Zexin Lin, Jiachen Yu, Haoyang Zhang +5
Large language models are enabling language-conditioned agents in interactive environments, but highly cooperative tasks often impose two simultaneous constraints: sub-second real-…