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Cologne Information Retrieval group presents agentic conversational search system

By PulseAugur Editorial · [1 sources] ·

Researchers from the Cologne Information Retrieval group have developed an agentic conversational search system for the iKAT SCAI 2026 shared task. This system incorporates tools for query rewriting, retrieval, reranking, and answer generation. A key focus of their work is on clarification need prediction and the generation of clarification questions, with experiments conducted on two distinct neural models for this purpose. AI

IMPACT This research contributes to improving conversational search systems by focusing on how agents can better understand user needs and ask clarifying questions.

RANK_REASON The item is an academic paper detailing research on conversational search systems and clarification need prediction. [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 →

Cologne Information Retrieval group presents agentic conversational search system

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The item is an academic paper detailing research on conversational search systems and clarification need prediction. [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) · Philipp Schaer ·

    CIR at iKAT SCAI 2026: Exploring Clarification Need Prediction in Agentic Conversational Search

    This paper presents the participation of the Cologne Information Retrieval group in the iKAT SCAI 2026 shared task. We use an agentic conversational search system, equipped with tools for query rewriting, retrieval and reranking, answer generation, and clarification need predicti…

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