Mixture of Debaters uses MoE to enable dynamic self-debate inside one model, claiming better accuracy than multi-agent systems at 3.7x lower latency and 87% fewer tokens on multimodal benchmarks.
arXiv:2511.11182 [cs.CV]
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cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SAVeR adds self-auditing of internal beliefs in LLM agents via persona-based candidates and constraint-guided repairs, improving faithfulness on six benchmarks without hurting task performance.
citing papers explorer
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Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning
Mixture of Debaters uses MoE to enable dynamic self-debate inside one model, claiming better accuracy than multi-agent systems at 3.7x lower latency and 87% fewer tokens on multimodal benchmarks.
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Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
SAVeR adds self-auditing of internal beliefs in LLM agents via persona-based candidates and constraint-guided repairs, improving faithfulness on six benchmarks without hurting task performance.