Saved in:
| Main Authors: | Wu, Zhanyu, Zhang, Richong, Nie, Zhijie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.03306 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
by: Nie, Zhijie, et al.
Published: (2024)
by: Nie, Zhijie, et al.
Published: (2024)
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
by: Nie, Zhijie, et al.
Published: (2024)
by: Nie, Zhijie, et al.
Published: (2024)
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025)
by: An, Ruize, et al.
Published: (2025)
When Text Embedding Meets Large Language Model: A Comprehensive Survey
by: Nie, Zhijie, et al.
Published: (2024)
by: Nie, Zhijie, et al.
Published: (2024)
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
by: Yao, Sijia, et al.
Published: (2025)
by: Yao, Sijia, et al.
Published: (2025)
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)
by: Wu, Shiguang, et al.
Published: (2024)
AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
by: Shi, Yunxiao, et al.
Published: (2026)
by: Shi, Yunxiao, et al.
Published: (2026)
SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval
by: Cui, Zicai, et al.
Published: (2026)
by: Cui, Zicai, et al.
Published: (2026)
Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation
by: Agrawal, Vibhor, et al.
Published: (2025)
by: Agrawal, Vibhor, et al.
Published: (2025)
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
by: Kalra, Jushaan Singh, et al.
Published: (2025)
by: Kalra, Jushaan Singh, et al.
Published: (2025)
Xetrieval: Mechanistically Explaining Dense Retrieval
by: Cai, Zhixin, et al.
Published: (2026)
by: Cai, Zhixin, et al.
Published: (2026)
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
by: Jin, Yiqiao, et al.
Published: (2025)
by: Jin, Yiqiao, et al.
Published: (2025)
SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection
by: Zhang, Jiale, et al.
Published: (2025)
by: Zhang, Jiale, et al.
Published: (2025)
SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise
by: Li, Yuejie, et al.
Published: (2026)
by: Li, Yuejie, et al.
Published: (2026)
Investigating Mixture of Experts in Dense Retrieval
by: Sokli, Effrosyni, et al.
Published: (2024)
by: Sokli, Effrosyni, et al.
Published: (2024)
Unifying Generative and Dense Retrieval for Sequential Recommendation
by: Yang, Liu, et al.
Published: (2024)
by: Yang, Liu, et al.
Published: (2024)
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
by: Shen, Yanzhen, et al.
Published: (2025)
by: Shen, Yanzhen, et al.
Published: (2025)
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)
by: Madhu, Hiren, et al.
Published: (2026)
Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)
by: Xie, Miao, et al.
Published: (2026)
Trove: A Flexible Toolkit for Dense Retrieval
by: Esfandiarpoor, Reza, et al.
Published: (2025)
by: Esfandiarpoor, Reza, et al.
Published: (2025)
Interpretability Analysis of Domain Adapted Dense Retrievers
by: Yuksel, Goksenin, et al.
Published: (2025)
by: Yuksel, Goksenin, et al.
Published: (2025)
Not All Queries Need Rewriting: When Prompt-Only LLM Refinement Helps and Hurts Dense Retrieval
by: Kotte, Varun
Published: (2026)
by: Kotte, Varun
Published: (2026)
Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents
by: Hashmi, Afshan
Published: (2026)
by: Hashmi, Afshan
Published: (2026)
A Dynamic Retrieval-Augmented Generation System with Selective Memory and Remembrance
by: Bursa, Okan
Published: (2026)
by: Bursa, Okan
Published: (2026)
Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
by: Kim, Junyoung, et al.
Published: (2026)
by: Kim, Junyoung, et al.
Published: (2026)
A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning
by: Liu, Jiate, et al.
Published: (2026)
by: Liu, Jiate, et al.
Published: (2026)
SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing
by: Hakim, Safayat Bin, et al.
Published: (2025)
by: Hakim, Safayat Bin, et al.
Published: (2025)
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
by: Kang, SeongKu, et al.
Published: (2025)
by: Kang, SeongKu, et al.
Published: (2025)
Your Dense Retriever is Secretly an Expeditious Reasoner
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
When should I search more: Adaptive Complex Query Optimization with Reinforcement Learning
by: Wen, Wei, et al.
Published: (2026)
by: Wen, Wei, et al.
Published: (2026)
Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications
by: Xu, Yifan, et al.
Published: (2025)
by: Xu, Yifan, et al.
Published: (2025)
Dense X Retrieval: What Retrieval Granularity Should We Use?
by: Chen, Tong, et al.
Published: (2023)
by: Chen, Tong, et al.
Published: (2023)
Aligning Dense Retrievers with LLM Utility via Distillation
by: Sandhu, Rajinder, et al.
Published: (2026)
by: Sandhu, Rajinder, et al.
Published: (2026)
PankRAG: Enhancing Graph Retrieval via Globally Aware Query Resolution and Dependency-Aware Reranking Mechanism
by: Li, Ningyuan, et al.
Published: (2025)
by: Li, Ningyuan, et al.
Published: (2025)
Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval
by: Kim, Hyunkyu, et al.
Published: (2025)
by: Kim, Hyunkyu, et al.
Published: (2025)
Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
by: Tian, Yuxing, et al.
Published: (2026)
by: Tian, Yuxing, et al.
Published: (2026)
AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG
by: Peng, Chao, et al.
Published: (2025)
by: Peng, Chao, et al.
Published: (2025)
A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval
by: Wang, Huimu, et al.
Published: (2025)
by: Wang, Huimu, et al.
Published: (2025)
OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
by: Tchuindjo, Diane, et al.
Published: (2026)
by: Tchuindjo, Diane, et al.
Published: (2026)
Similar Items
-
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning
by: Nie, Zhijie, et al.
Published: (2024) -
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
by: Nie, Zhijie, et al.
Published: (2024) -
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025) -
When Text Embedding Meets Large Language Model: A Comprehensive Survey
by: Nie, Zhijie, et al.
Published: (2024) -
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
by: Yao, Sijia, et al.
Published: (2025)