DQA maintains persistent diagnostic state and aggregates retrievals at the root-cause level to reach 78.7% success on 150 enterprise IT scenarios versus 41.3% for standard multi-turn RAG while cutting average turns from 8.4 to 3.9.
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2026 2verdicts
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HCoT integrates a heuristic classification model into LLM generation to structure reasoning, delivering higher accuracy and better token efficiency than CoT and ToT on inductive tasks and the 24 Game.
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DQA: Diagnostic Question Answering for IT Support
DQA maintains persistent diagnostic state and aggregates retrievals at the root-cause level to reach 78.7% success on 150 enterprise IT scenarios versus 41.3% for standard multi-turn RAG while cutting average turns from 8.4 to 3.9.
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Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models
HCoT integrates a heuristic classification model into LLM generation to structure reasoning, delivering higher accuracy and better token efficiency than CoT and ToT on inductive tasks and the 24 Game.