:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hu, Bingde, Pan, Enhao, Zhou, Wanjing, Gao, Yang, Feng, Zunlei, Zhong, Hao
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2601.09530
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Multi-Vector Dense Retrieval Using Bit Vectors
by: Nardini, Franco Maria, et al.
Published: (2024)

WARP: An Efficient Engine for Multi-Vector Retrieval
by: Scheerer, Jan Luca, et al.
Published: (2025)

No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
by: Guo, Lixuan, et al.
Published: (2026)

Gated Rotary-Enhanced Linear Attention with Rank Modulation for Long-term Sequential Recommendation
by: Hu, Juntao, et al.
Published: (2025)

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings
by: Dhulipala, Laxman, et al.
Published: (2024)

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
by: Zhang, Chen, et al.
Published: (2025)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
by: Tang, Heng, et al.
Published: (2025)

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations
by: Lei, Zijie, et al.
Published: (2026)

Efficient Constant-Space Multi-Vector Retrieval
by: MacAvaney, Sean, et al.
Published: (2025)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search
by: Zhang, Haoyu, et al.
Published: (2024)

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever
by: Bin, Xingyan, et al.
Published: (2025)

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
by: Su, Zhengyang, et al.
Published: (2026)

Vector Retrieval with Similarity and Diversity: How Hard Is It?
by: Gao, Hang, et al.
Published: (2024)

DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning
by: Yan, Yibo, et al.
Published: (2025)

Repository-level Code Search with Neural Retrieval Methods
by: Gandhi, Siddharth, et al.
Published: (2025)

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
by: Yan, Yibo, et al.
Published: (2026)

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
by: Deng, Jiaxin, et al.
Published: (2025)

Learning Deep Tree-based Retriever for Efficient Recommendation: Theory and Method
by: Liu, Ze, et al.
Published: (2024)

Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation
by: Hu, Hao, et al.
Published: (2025)

GEM: A Native Graph-based Index for Multi-Vector Retrieval
by: Tian, Yao, et al.
Published: (2026)

Incorporating Token Importance in Multi-Vector Retrieval
by: S, Archish, et al.
Published: (2025)

Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers
by: Zeng, Qingcheng, et al.
Published: (2026)

UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents
by: Dou, Zheng, et al.
Published: (2026)

MERVIN: A Unified Framework for Multimodal Event Retrieval in Vietnamese News Videos
by: Pham-Nguyen, Anh-Tai, et al.
Published: (2026)

FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances
by: Song, Junjie, et al.
Published: (2026)

Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)

Unifying Generative and Dense Retrieval for Sequential Recommendation
by: Yang, Liu, et al.
Published: (2024)

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework
by: Zhang, Chao, et al.
Published: (2025)

KBest: Efficient Vector Search on Kunpeng CPU
by: Ma, Kaihao, et al.
Published: (2025)

Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation
by: Feng, Yifan, et al.
Published: (2025)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
by: Lee, Jinhyuk, et al.
Published: (2023)

Foundations of Vector Retrieval
by: Bruch, Sebastian
Published: (2024)

RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation
by: Zhang, Haolin, et al.
Published: (2026)

Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
by: Ma, Xueguang, et al.
Published: (2025)

OrchANN: A Unified I/O Orchestration Framework for Skewed Out-of-Core Vector Search
by: Huan, Chengying, et al.
Published: (2025)

SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation
by: Dong, Qian, et al.
Published: (2025)

Curator: Efficient Vector Search with Low-Selectivity Filters
by: Jin, Yicheng, et al.
Published: (2026)

LEMUR: Learned Multi-Vector Retrieval
by: Jääsaari, Elias, et al.
Published: (2026)

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
by: Jia, Yanhao, et al.
Published: (2025)

A Unified Framework for Cross-Domain Recommendation
by: Cao, Jiangxia, et al.
Published: (2024)