Cover Image

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Clavié, Benjamin
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Towards Better Monolingual Japanese Retrievers with Multi-Vector Models
by: Clavié, Benjamin
Published: (2023)

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

TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
by: Ezerceli, Özay, et al.
Published: (2025)

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

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
by: Wang, Jiajia, et al.
Published: (2024)

Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval
by: Chen, Peter Baile, et al.
Published: (2024)

R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
by: Ye, Fuda, et al.
Published: (2024)

Towards Lossless Token Pruning in Late-Interaction Retrieval Models
by: Zong, Yuxuan, et al.
Published: (2025)

MultiContrievers: Analysis of Dense Retrieval Representations
by: Goldfarb-Tarrant, Seraphina, et al.
Published: (2024)

RARe: Retrieval Augmented Retrieval with In-Context Examples
by: Tejaswi, Atula, et al.
Published: (2024)

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
by: Jin, Bowen, et al.
Published: (2025)

Benchmarking Information Retrieval Models on Complex Retrieval Tasks
by: Killingback, Julian, et al.
Published: (2025)

Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
by: Ghassel, Abdellah, et al.
Published: (2025)

Multi-Facet Blending for Faceted Query-by-Example Retrieval
by: Do, Heejin, et al.
Published: (2024)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)

Optimizing Multi-Hop Document Retrieval Through Intermediate Representations
by: Lin, Jiaen, et al.
Published: (2025)

PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering
by: Nahid, Md Mahadi Hasan, et al.
Published: (2025)

Dense X Retrieval: What Retrieval Granularity Should We Use?
by: Chen, Tong, et al.
Published: (2023)

FinRetrieval: A Benchmark for Financial Data Retrieval by AI Agents
by: Kim, Eric Y., et al.
Published: (2026)

NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
by: Shachar, Or, et al.
Published: (2025)

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
by: Tang, Qiaoyu, et al.
Published: (2024)

Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
by: Pang, Ming, et al.
Published: (2025)

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation
by: Landolsi, Hamza, et al.
Published: (2025)

Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
by: Kim, Taehee, et al.
Published: (2026)

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

One Model Is Enough: Native Retrieval Embeddings from LLM Agent Hidden States
by: Jiang, Bo
Published: (2026)

Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)

Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering
by: Amirizaniani, Maryam, et al.
Published: (2026)

Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering
by: Zhang, Xiaoming, et al.
Published: (2024)

Beyond Single-Shot: Multi-step Tool Retrieval via Query Planning
by: Fang, Wei, et al.
Published: (2026)

Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
by: Wei, Wenda, et al.
Published: (2025)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

LightRetriever: A LLM-based Text Retrieval Architecture with Extremely Faster Query Inference
by: Ma, Guangyuan, et al.
Published: (2025)

ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
by: Louis, Antoine, et al.
Published: (2024)

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

Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method
by: Chen, Peter Baile, et al.
Published: (2025)