Beyond Final Accuracy: Auditing Communication in LLM Multi-Agent Systems
cs.AI, cs.CL
Submitted: 2026-10-01
Updated: 2026-10-01
Terminology
Sources
- Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning
- UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Training Verifiers to Solve Math Word Problems
- Improving Factuality and Reasoning in Language Models through Multiagent Debate
- Minority Sentinel: When to Overturn Majority Voting in Multi-Agent LLM Debates
- FORTIS: Benchmarking Over-Privilege in Agent Skills
- StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems
- ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling
- POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- Qwen3 Technical Report
- Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning
- Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
- RaMem: Contextual Reinstatement for Long-term Agentic Memory
- Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
- Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation
- Peacemaker or Troublemaker: How Sycophancy Shapes Multi-Agent Debate
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