Imagen de Portada

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Xianming, Shakir, Aamir, Huang, Rui, Lee, Tsz-fung Andrew, Lipp, Julius, Clavié, Benjamin, Li, Jing
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BMX: Entropy-weighted Similarity and Semantic-enhanced Lexical Search
por: Li, Xianming, et al.
Publicado: (2024)

Fantastic (small) Retrievers and How to Train Them: mxbai-edge-colbert-v0 Tech Report
por: Takehi, Rikiya, et al.
Publicado: (2025)

Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies
por: Clavié, Benjamin, et al.
Publicado: (2026)

IncompeBench: A Permissively Licensed, Fine-Grained Benchmark for Music Information Retrieval
por: Clavié, Benjamin, et al.
Publicado: (2026)

Simple Projection Variants Improve ColBERT Performance
por: Clavié, Benjamin, et al.
Publicado: (2025)

rerankers: A Lightweight Python Library to Unify Ranking Methods
por: Clavié, Benjamin
Publicado: (2024)

LIR: The First Workshop on Late Interaction and Multi Vector Retrieval @ ECIR 2026
por: Clavié, Benjamin, et al.
Publicado: (2025)

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources
por: Clavié, Benjamin
Publicado: (2024)

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

Automating Personalization: Prompt Optimization for Recommendation Reranking
por: Wang, Chen, et al.
Publicado: (2025)

DiffuRank: Effective Document Reranking with Diffusion Language Models
por: Liu, Qi, et al.
Publicado: (2026)

RankLLM: A Python Package for Reranking with LLMs
por: Sharifymoghaddam, Sahel, et al.
Publicado: (2025)

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

RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
por: Jin, Can, et al.
Publicado: (2025)

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling
por: Clavié, Benjamin, et al.
Publicado: (2024)

EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
por: Li, Minghan, et al.
Publicado: (2024)

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
por: Jia, Pengyue, et al.
Publicado: (2026)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
por: Zhuang, Shengyao, et al.
Publicado: (2025)

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval
por: Zheng, Yuanhang, et al.
Publicado: (2024)

Multi-view-guided Passage Reranking with Large Language Models
por: Na, Jeongwoo, et al.
Publicado: (2025)

SumRank: Aligning Summarization Models for Long-Document Listwise Reranking
por: Feng, Jincheng, et al.
Publicado: (2026)

Whole-Pool Setwise Reranking with Long-Context Language Models
por: Li, Hang, et al.
Publicado: (2026)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
por: Gao, Jingtong, et al.
Publicado: (2024)

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
por: Wu, Xuyang, et al.
Publicado: (2024)

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

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
por: Liu, Qi, et al.
Publicado: (2025)

Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan
por: Wang, Shuli, et al.
Publicado: (2026)

Dynamic Ranked List Truncation for Reranking Pipelines via LLM-generated Reference-Documents
por: Sinhababu, Nilanjan, et al.
Publicado: (2026)

LANCER: LLM Reranking for Nugget Coverage
por: Ju, Jia-Huei, et al.
Publicado: (2026)

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads
por: Wang, Juyuan, et al.
Publicado: (2026)

LLM-based Listwise Reranking under the Effect of Positional Bias
por: Qiao, Jingfen, et al.
Publicado: (2026)

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

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
por: Wu, Yuhang, et al.
Publicado: (2026)

Denoising Neural Reranker for Recommender Systems
por: Mao, Wenyu, et al.
Publicado: (2025)

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

Enhancing Retrieval-Augmented Generation with Two-Stage Retrieval: FlashRank Reranking and Query Expansion
por: George, Sherine
Publicado: (2025)

RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)

Stop Overthinking: Unlocking Efficient Listwise Reranking with Minimal Reasoning
por: Liu, Danyang, et al.
Publicado: (2026)

Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
por: Islam, Md Aminul, et al.
Publicado: (2025)

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