Alibaba's PoS Maintains Explicit Belief States to Fix Long-Horizon Agent 'Belief Trapping'
alibabagroup · hf · 2026-10-02
Alibaba proposes PoS, an inference-time framework that builds and continually maintains explicit belief states as an LLM agent's decision context, combining world-state estimates with unresolved task requirements. Consistency validation and progress monitoring detect 'Belief Trapping'—acting without meaningful progress—with recovery tailored to the trapping pattern and requirement type. PoS achieves the highest overall performance on all four benchmarks across three LLM backbones, and ablations plus context-scaling experiments show belief construction as a foundation for long-horizon context management beyond history compression.
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