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New research explores faithful query resolution for conversational search

By PulseAugur Editorial · [1 sources] ·

A new paper from arXiv explores the balance between query fidelity and retrieval breadth in conversational search systems. Researchers evaluated five query-generation configurations using BM25 and SPLADE retrieval within a behavior-adaptive assistant at the iKAT SCAI 2026 setting. The findings suggest that while combining a minimal-faithful resolver with a learned rewriter can improve retrieval scores, it may not necessarily lead to higher conversational satisfaction, highlighting the need to separate query interpretation from retrieval expansion. AI

IMPACT This research could lead to more intuitive and effective conversational search agents by better balancing information retrieval breadth with user intent.

RANK_REASON The item is an academic paper submitted to arXiv detailing research on conversational search. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research explores faithful query resolution for conversational search

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The item is an academic paper submitted to arXiv detailing research on conversational search. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jelena Mitrovic ·

    Faithful Query Resolution for Conversational Search

    Conversational query rewriting makes context-dependent requests explicit for retrieval, but additional context can introduce an information need the user did not express. This raises a question about the interaction between query fidelity and retrieval breadth. This paper examine…

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