ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, Yuzheng, Zhang, Yanzhao, Long, Dingkun, Li, Mingxin, Xie, Pengjun, Zheng, Weiguo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
by: Dai, Ziqi, et al.
Published: (2025)
by: Dai, Ziqi, et al.
Published: (2025)
DiffuRank: Effective Document Reranking with Diffusion Language Models
by: Liu, Qi, et al.
Published: (2026)
by: Liu, Qi, et al.
Published: (2026)
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
by: Jin, Jiajie, et al.
Published: (2026)
by: Jin, Jiajie, et al.
Published: (2026)
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
by: Song, Tingyu, et al.
Published: (2026)
by: Song, Tingyu, et al.
Published: (2026)
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025)
by: An, Ruize, et al.
Published: (2025)
Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum
by: Guo, Zhuoning, et al.
Published: (2025)
by: Guo, Zhuoning, et al.
Published: (2025)
A Two-Stage Adaptation of Large Language Models for Text Ranking
by: Zhang, Longhui, et al.
Published: (2023)
by: Zhang, Longhui, et al.
Published: (2023)
When Text Embedding Meets Large Language Model: A Comprehensive Survey
by: Nie, Zhijie, et al.
Published: (2024)
by: Nie, Zhijie, et al.
Published: (2024)
Towards Text-Image Interleaved Retrieval
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation
by: Cai, Yuzheng, et al.
Published: (2024)
by: Cai, Yuzheng, et al.
Published: (2024)
ListConRanker: A Contrastive Text Reranker with Listwise Encoding
by: Liu, Junlong, et al.
Published: (2025)
by: Liu, Junlong, et al.
Published: (2025)
State Space Models are Strong Text Rerankers
by: Xu, Zhichao, et al.
Published: (2024)
by: Xu, Zhichao, et al.
Published: (2024)
An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision
by: Zhang, Zishuai, et al.
Published: (2025)
by: Zhang, Zishuai, et al.
Published: (2025)
ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
by: Li, Xianming, et al.
Published: (2025)
by: Li, Xianming, et al.
Published: (2025)
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
by: Gisserot-Boukhlef, Hippolyte, et al.
Published: (2024)
by: Gisserot-Boukhlef, Hippolyte, et al.
Published: (2024)
DeepSlide: From Artifacts to Presentation Delivery
by: Yang, Ming, et al.
Published: (2026)
by: Yang, Ming, et al.
Published: (2026)
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
by: Zhuang, Shengyao, et al.
Published: (2025)
by: Zhuang, Shengyao, et al.
Published: (2025)
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
by: Huang, Siyuan, et al.
Published: (2025)
by: Huang, Siyuan, et al.
Published: (2025)
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
by: Wu, Yuhang, et al.
Published: (2026)
by: Wu, Yuhang, et al.
Published: (2026)
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2024)
by: Peng, Zhiyuan, et al.
Published: (2024)
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
by: Wu, Xuyang, et al.
Published: (2024)
by: Wu, Xuyang, et al.
Published: (2024)
When Vision Meets Texts in Listwise Reranking
by: Cai, Hongyi
Published: (2026)
by: Cai, Hongyi
Published: (2026)
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
Dual-Rerank: Fusing Causality and Utility for Industrial Generative Reranking
by: Zhang, Chao, et al.
Published: (2026)
by: Zhang, Chao, et al.
Published: (2026)
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging
by: Li, Mingxin, et al.
Published: (2024)
by: Li, Mingxin, et al.
Published: (2024)
Distillation versus Contrastive Learning: How to Train Your Rerankers
by: Xu, Zhichao, et al.
Published: (2025)
by: Xu, Zhichao, et al.
Published: (2025)
LR-SQL: A Supervised Fine-Tuning Method for Text2SQL Tasks under Low-Resource Scenarios
by: Wuzhenghong, Wen, et al.
Published: (2024)
by: Wuzhenghong, Wen, et al.
Published: (2024)
LimRank: Less is More for Reasoning-Intensive Information Reranking
by: Song, Tingyu, et al.
Published: (2025)
by: Song, Tingyu, et al.
Published: (2025)
LegalMALR:Multi-Agent Query Understanding and LLM-Based Reranking for Chinese Statute Retrieval
by: Li, Yunhan, et al.
Published: (2026)
by: Li, Yunhan, et al.
Published: (2026)
$\text{R}^2\text{R}$: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
by: Badhe, Sanket, et al.
Published: (2026)
by: Badhe, Sanket, et al.
Published: (2026)
Rank-K: Test-Time Reasoning for Listwise Reranking
by: Yang, Eugene, et al.
Published: (2025)
by: Yang, Eugene, et al.
Published: (2025)
Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
by: Zhou, Yixi, et al.
Published: (2026)
by: Zhou, Yixi, et al.
Published: (2026)
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
by: Zhou, Tong
Published: (2025)
by: Zhou, Tong
Published: (2025)
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering
by: Kardan, Mehmet, et al.
Published: (2025)
by: Kardan, Mehmet, et al.
Published: (2025)
Similar Items
-
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
by: Liu, Qi, et al.
Published: (2025) -
Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
by: Dai, Ziqi, et al.
Published: (2025) -
DiffuRank: Effective Document Reranking with Diffusion Language Models
by: Liu, Qi, et al.
Published: (2026) -
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
by: Zhang, Xin, et al.
Published: (2024) -
LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
by: Jin, Jiajie, et al.
Published: (2026)