Beyond Memory: Harnessing Long-Horizon Agents with Explicit Belief States
Large language model (LLM) agents can now undertake increasingly complex tasks, but the way they organize interaction history into memory does not ensure a coherent understanding of the current world. We introduce PoS, an inference-time framework that constructs and continually maintains explicit belief states as the a...
Yu Luo, Jia-Min Jiang, Yi-Min Zuo et al.
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