Papers with MusiQue

1 papers
IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering (2026.acl-long)

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Challenge: Existing prompt compression methods are designed for single-turn queries and fail to capture interdependent reasoning steps.
Approach: They propose a unified, training-free prompt compression framework that integrates multi-hop reasoning within an iterative compression loop.
Outcome: Experiments on MusiQue, 2WikiMultiHopQA, and HotpotQA show that iterCOMP achieves significant improvements in Exact Match and F1 scores while reducing the token budget.

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