ECLAIR: Enhanced Clarification for Interactive Responses

• URL: http://arxiv.org/abs/2503.15739v1
• Date: Wed, 19 Mar 2025 23:04:00 GMT
• Title: ECLAIR: Enhanced Clarification for Interactive Responses
• Authors: John Murzaku, Zifan Liu, Md Mehrab Tanjim, Vaishnavi Muppala, Xiang Chen, Yunyao Li,
• Abstract summary: ECLAIR generates clarification questions for ambiguous user queries and resolves ambiguity based on the user's response.<n>We introduce a generalized architecture capable of integrating ambiguity information from multiple downstream agents.<n>We conduct experiments comparing ECLAIR to few-shot prompting techniques and demonstrate ECLAIR's superior performance in question generation and ambiguity resolution.
• Score: 10.954831867440332
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present ECLAIR (Enhanced CLArification for Interactive Responses), a novel unified and end-to-end framework for interactive disambiguation in enterprise AI assistants. ECLAIR generates clarification questions for ambiguous user queries and resolves ambiguity based on the user's response.We introduce a generalized architecture capable of integrating ambiguity information from multiple downstream agents, enhancing context-awareness in resolving ambiguities and allowing enterprise specific definition of agents. We further define agents within our system that provide domain-specific grounding information. We conduct experiments comparing ECLAIR to few-shot prompting techniques and demonstrate ECLAIR's superior performance in clarification question generation and ambiguity resolution.

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