Tian, Sixuan

Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems

2025 · arXiv (Cornell University)

Large language model (LLM) agents have shown increasing promise for collaborative task completion. However, existing multi-agent frameworks often rely on static workflows, fixed roles, and limited inter-agent communication, reducing their effectiveness in open-ended, high-complexity domains. …