AI Research
Towards Proactive Detection of User-Side Implicit Conflicts in Human-LLM Dialogue
How proactive conflict detection is solving the problem of inconsistent user intent in conversational AI.
In Human-LLM dialogue, follow-up user utterances may implicitly conflict with earlier intents, leading the LLM to misinterpret user needs and generate inappropriate responses. A reliable dialogue system should proactively detect user-side conflicts before generating a response an...
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ArXiv CS.CL
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2 min
ArXiv CS.CL
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This research addresses the critical gap in conversational AI where conflicting user intents lead to degraded trust and performance. Proactive conflict detection enables LLMs to maintain logical consistency, significantly improving the reliability of long-form, multi-turn interactions.
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