PoS represents an agent’s decision context using two linked components: an estimate of the current world state and a record of unresolved task requirements.
Explicit belief states help agents stay coherent over long tasks
PoS continually revises an agent’s view of the current world, checks it for inconsistencies, and intervenes when progress stalls.
Chinese Tech
Yu Luo · Jiamin Jiang · Yimin Zuo · Xidao Wen · Rongchen Gao · Yongqian Sun · +6 more
Nankai University · Alibaba Group · Tsinghua University
Research Digest··2 min read
Luo and colleagues introduce PoS, an inference-time framework that replaces reliance on accumulated interaction history with an explicit, continually maintained belief state.
Why this paper
From Alibaba Group and 2 others
In one line
Explicit belief states that track world state and unresolved task requirements, validated for consistency and monitored for progress, improve long-horizon LLM agent performance.
What we could check
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