Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Haike, Chen, Tong
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA
by: Verma, Shashank, et al.
Published: (2025)

Rank1: Test-Time Compute for Reranking in Information Retrieval
by: Weller, Orion, et al.
Published: (2025)

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
by: Chen, Teng, et al.
Published: (2026)

LimRank: Less is More for Reasoning-Intensive Information Reranking
by: Song, Tingyu, et al.
Published: (2025)

GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation
by: Miao, Ruizhong, et al.
Published: (2026)

Drowning in Documents: Consequences of Scaling Reranker Inference
by: Jacob, Mathew, et al.
Published: (2024)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
by: Moreira, Gabriel de Souza P., et al.
Published: (2024)

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
by: Jedidi, Nour, et al.
Published: (2025)

Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP
by: Chen, Ziyi, et al.
Published: (2023)

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
by: Li, Yaoyiran, et al.
Published: (2022)

DS@GT at TREC TOT 2025: Bridging Vague Recollection with Fusion Retrieval and Learned Reranking
by: Zhou, Wenxin, et al.
Published: (2026)

Diagnosing LLM Reranker Behavior Under Fixed Evidence Pools
by: Arat, Baris, et al.
Published: (2026)

1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering
by: Purbey, Jebish, et al.
Published: (2024)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization
by: Huang, Siyuan, et al.
Published: (2025)

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
by: Yoon, Soyoung, et al.
Published: (2025)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)

Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking
by: Zhang, Chao, et al.
Published: (2026)

Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
by: LeVine, Will, et al.
Published: (2025)

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
by: Wang, Chen, et al.
Published: (2025)

Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
by: Zhou, Tong
Published: (2025)

Rank-K: Test-Time Reasoning for Listwise Reranking
by: Yang, Eugene, et al.
Published: (2025)

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
by: Abdallah, Abdelrahman, et al.
Published: (2025)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
by: Tian, Runchu, et al.
Published: (2025)

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
by: Suresh, Tarun, et al.
Published: (2024)

State Space Models are Strong Text Rerankers
by: Xu, Zhichao, et al.
Published: (2024)

LLM-Enhanced Reranking for Complementary Product Recommendation
by: Xu, Zekun, et al.
Published: (2025)

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2024)

Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
by: Park, Sangkwon, et al.
Published: (2026)

Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
by: Ding, Lei, et al.
Published: (2024)

Distillation versus Contrastive Learning: How to Train Your Rerankers
by: Xu, Zhichao, et al.
Published: (2025)

$\text{R}^2\text{R}$: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers
by: Wang, Xinyu, et al.
Published: (2025)

Reproducing Adaptive Reranking for Reasoning-Intensive IR
by: Rathee, Mandeep, et al.
Published: (2026)

ICLERB: In-Context Learning Embedding and Reranker Benchmark
by: Ghossein, Marie Al, et al.
Published: (2024)

DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation
by: Abdallah, Abdelrahman, et al.
Published: (2025)

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
by: Zhao, Yilun, et al.
Published: (2026)

Test-Time Training for Zero-Resource Dense Retrieval Reranking
by: Liu, Shiyan, et al.
Published: (2026)

LegalMALR:Multi-Agent Query Understanding and LLM-Based Reranking for Chinese Statute Retrieval
by: Li, Yunhan, et al.
Published: (2026)

Hybrid Retrieval for COVID-19 Literature: Comparing Rank Fusion and Projection Fusion with Diversity Reranking
by: Prajapati, Harishkumar Kishorkumar
Published: (2026)

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
by: Zhang, Xin, et al.
Published: (2024)

Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)