From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL
Zijun Xie, Binbin Zheng, Enlei Gong +7
The paper introduces ECHO, a framework that compresses each interaction turn of a language agent into indexed memory records and selectively reconstructs context for decision makin…
cs.AI2025
Beyond the Strongest LLM: Multi-Turn Multi-Agent Orchestration vs. Single LLMs on Benchmarks
Aaron Xuxiang Tian, Ruofan Zhang, Jiayao Tang +12
We study multi-turn multi-agent orchestration, where multiple large language model (LLM) agents interact over multiple turns by iteratively proposing answers or casting votes until…