Cover Image

Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Clavié, Benjamin, Lee, Sean, Shakir, Aamir, Kato, Makoto P.
Format:	Preprint
Published:	2026
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

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

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

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

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

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

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking
by: Li, Xianming, et al.
Published: (2025)

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

Dense Passage Retrieval: Is it Retrieving?
by: Reichman, Benjamin, et al.
Published: (2024)

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

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

Spectral Tempering for Embedding Compression in Dense Passage Retrieval
by: Li, Yongkang, et al.
Published: (2026)

Training for Compositional Sensitivity Reduces Dense Retrieval Generalization
by: Ralev, Radoslav, et al.
Published: (2026)

LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
by: Jin, Jiajie, et al.
Published: (2026)

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)

QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
by: Tan, Hongming, et al.
Published: (2024)

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

WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval
by: Dinzinger, Michael, et al.
Published: (2025)

Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval
by: Thakur, Nandan, et al.
Published: (2023)

DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data
by: Zhao, Zhengyun, 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)

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

WebFAQ 2.0: A Multilingual QA Dataset with Mined Hard Negatives for Dense Retrieval
by: Dinzinger, Michael, et al.
Published: (2026)

Cohort Retrieval using Dense Passage Retrieval
by: Jadhav, Pranav
Published: (2025)

A Comparative Study of Specialized LLMs as Dense Retrievers
by: Zhang, Hengran, et al.
Published: (2025)

Scaling Laws For Dense Retrieval
by: Fang, Yan, et al.
Published: (2024)

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

Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
by: Jedidi, Nour, et al.
Published: (2024)

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

History-Aware Conversational Dense Retrieval
by: Mo, Fengran, et al.
Published: (2024)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2023)

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering
by: Du, Yiming, et al.
Published: (2024)

BM25S: Orders of magnitude faster lexical search via eager sparse scoring
by: Lù, Xing Han
Published: (2024)

Improve Dense Passage Retrieval with Entailment Tuning
by: Dai, Lu, et al.
Published: (2024)

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
by: Song, Jonghyun, et al.
Published: (2025)

NumColBERT: Non-Intrusive Numeracy Injection for Late-Interaction Retrieval Models
by: Fujimaki, Haruki, et al.
Published: (2026)

Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
by: Lee, Juhyeon, et al.
Published: (2025)

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
by: Sinha, Aarush
Published: (2025)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
by: Nian, Jinming, et al.
Published: (2024)

Making Large Language Models Efficient Dense Retrievers
by: Lei, Yibin, et al.
Published: (2025)

GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval
by: Erker, Justus-Jonas, et al.
Published: (2025)