Think Thrice Before Reranking: Multi-perspective Evidence and Reasoning Integration for Text Reranking
Reasoning-based reranking with Large Language Models (LLMs) has shown promising improvements in text ranking. However, current methods predominantly rely on a single reasoning trajectory, resulting in rankings that are susceptible to reasoning errors and inherently constrained in modeling the multifaceted signals underlying document relevance. To resolve this dilemma, we propose MERIT-Rank(Multi-perspective Evidence and Reasoning Integration for Text Reranking), a framework that models complementary reasoning trajectories to improve reranking robustness. MERIT-Rank formulates a Multi-Trajectory Reasoning Space (MTRS) that evaluates query-document relevance from multiple perspectives and i...
| Authors | Lijun Liu, Zhengzong Chen, Wenyan Li et al. |
|---|---|
| Primary category | cs.IR |
| Published | 17 September 2026 |
| Last updated at source | 17 September 2026 |
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