Papers

Filtered to coordination · clear filter

Browse by term

continual learning 83reinforcement learning 50large language models 12benchmarking 11benchmarks 11language models 11vision-language models 11robotics 7natural language processing 6world models 6generative models 5recursive self-improvement 5attention mechanisms 4diffusion Transformers 4multi-agent systems 4multimodal learning 4multimodal models 4on-policy distillation 4self-distillation 4self-supervised learning 4transformers 4video generation 4vision-language-action models 4agent-based systems 3agentic models 3agentic search 3autonomous systems 3coding agents 3diffusion models 3image generation 3

Matching papers

Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems

124 upvotes · 2 SEP 2026 · Yihang Chen, Yuxiang Chen, Yuxuan Huang et al.

This paper develops a game-theoretic approach to multi-agent LLM systems, focusing on coordination, memory improvement, and external verification. Practitioners might care about this work because it provides a unified account of these aspects and introduces a new method, Stochastic Reflective Memory Ascent (SRMA), which can improve the performance of multi-agent LLM systems.