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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...
CoTriage is presented, a practical and scalable end-to-end automated ticket triage system, designed and deployed for real-world industrial scenarios and reduces the average triage time to 15.0 seconds and significantly enhances operational efficiency and accelerating incident resolution in practice.
Large language model (LLM) agents are increasingly used for multi-step, stateful tool-use tasks, yet production reliability remains limited. Unlike static software repair, agent repair must recover dynamic trajectories whose early decisions can propagate into later errors and external state changes. Existing automatic...
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