agent self-evolution 1evidence recalibration 1harness optimization 1historical experience 1large language models 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.MA2026
DREvo: Distilling Recalibrated Historical Experience for Harness Self-Evolution
Hanghui Guo, Weijie Shi, Zhangze Chen +6
The paper introduces DREvo, a method that improves the self‑evolution of large‑language‑model agents by dynamically reassessing and recalibrating historical trial experience to gui…
cs.AI2026
FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
Zeyu Ren, Ling Yue, Ran Li +5
Large language model agents can adapt to complex tasks by constructing workflows at inference time, but procedures discovered in one episode are usually discarded after execution.…
cs.MA2026
PeroMAS: A Multi-agent System of Perovskite Material Discovery
Yishu Wang, Wei Liu, Yifan Li +8
As a pioneer of the third-generation photovoltaic revolution, Perovskite Solar Cells (PSCs) are renowned for their superior optoelectronic performance and cost potential. The devel…