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Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents
Metacognitive Memory Policy Optimization uses belief entropy to penalize uncertain intermediate summaries, improving long-horizon LLM agent reasoning and retaining 97.1% performance at 1.75M-token contexts.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 7 on Hugging Face
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