Article

Synthesizing Human-Like Conversational Search Interactions with Large Language Models

2025-03-19

Abstract excerpt

Training effective conversational search systems is often hindered by the scarcity of high-quality, labeled conversational data. To address this challenge, we propose LLM-Driven Conversational Search Session Synthesis (LLM-CSSS), a novel generative framework that leverages the power of large language models (LLMs) to synthesize realistic multi-turn conversational search sessions. Our method involves fine-tuning a...

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Literature Corpus work: 89e8a4dd-139a-511e-8118-177d42e3bff0
DOI: 10.20944/preprints202503.1401.v1

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