ICR: Iterative Clarification and Rewriting for Conversational Search (2025.emnlp-main)
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| Challenge: | Conversational Query Rewriting (CQR) is a key step in conversational question answering . it aims to rewrite vague queries into de-contextualized queries, thereby promoting conversational search. |
| Approach: | They propose an iterative rewriting scheme that pivots on clarification questions . they propose to rewrite queries into de-contextualized queries to promote conversational search . |
| Outcome: | The proposed framework improves retrieval performance on two popular datasets. |
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| Challenge: | Existing methods to determine a good search query from the whole conversation context are expensive and often lead to sub-optimal results. |
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| Challenge: | Recent advances in task-solving capabilities of Large Language Models (LLMs) have motivated researchers to integrate these models into existing conversational search systems. |
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| Challenge: | Recent approaches to improve retrieval effectiveness rely on a single rewrite . however, they often suffer from conflicting optimization signals . |
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