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TRACER predicts whether a task-oriented dialogue will fail by analyzing partial conversations using belief-state changes and text representations, enabling early warning before full breakdown.
Nankai University and Lenovo collaborated to propose Graph of States (GoS), a neuro-symbolic framework for general abductive reasoning, which uses explicit belief states and state machines to control multi-agent collaboration, achieving significant improvements in medical diagnosis and system fault diagnosis tasks. This work was accepted at ICML 2026.
This paper introduces Agent-BRACE, a method that decouples LLM agents into belief state and policy models to handle long-horizon tasks in partially observable environments. By verbalizing state uncertainty, it achieves significant performance improvements over baselines while maintaining constant context window size.