Papers with ICR
ICR: Iterative Clarification and Rewriting for Conversational Search (2025.emnlp-main)
Copied to clipboard
| 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. |
Can’t Remember Details in Long Documents? You Need Some R&R (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Long-context large language models miss important information in the middle of context documents . a recent study shows that LLMs can be used for document-based QA tasks . |
| Approach: | They propose a prompt-based method called *reprompting* and *in-context retrieval* to alleviate this effect in document-based QA. |
| Outcome: | The proposed method improves QA accuracy on documents up to 80k tokens in length. |
Strong Reasoning Isn’t Enough: Evaluating Evidence Elicitation in Interactive Diagnosis (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing evaluations of medical consultation are static or outcome-centric, neglecting the evidence-gathering process. |
| Approach: | They propose an interactive evaluation framework that explicitly models the consultation process using a simulated patient and a measurement module grounded in atomic evidences. |
| Outcome: | The proposed evaluation framework outperforms baseline evaluation methods in medical consultation settings. |