Cover Image

EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Peter Baile, Wolfson, Tomer, Cafarella, Michael, Roth, Dan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Enriching Taxonomies Using Large Language Models
by: Ghamlouch, Zeinab, et al.
Published: (2025)

Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
by: Zhou, Jiawei, et al.
Published: (2024)

Video Enriched Retrieval Augmented Generation Using Aligned Video Captions
by: Rosa, Kevin Dela
Published: (2024)

Autofocus Retrieval: An Effective Pipeline for Multi-Hop Question Answering With Semi-Structured Knowledge
by: Boer, Derian, et al.
Published: (2025)

Retrieval-Augmented Generation by Evidence Retroactivity in LLMs
by: Xiao, Liang, et al.
Published: (2025)

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
by: Lan, Junwei, et al.
Published: (2025)

CORE-T: COherent REtrieval of Tables for Text-to-SQL
by: Soliman, Hassan, et al.
Published: (2026)

Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
by: Chen, Ziyi, et al.
Published: (2026)

Offline RL for Adaptive Policy Retrieval in Prior Authorization
by: Sharifullin, Ruslan, et al.
Published: (2026)

RAG-based Architectures for Drug Side Effect Retrieval in LLMs
by: Nygren, Shad, et al.
Published: (2025)

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

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

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
by: Li, Zijian, et al.
Published: (2024)

The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs
by: Yazan, Mert, et al.
Published: (2024)

Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
by: Gupta, Vatsal, et al.
Published: (2023)

Generative Query Expansion with Multilingual LLMs for Cross-Lingual Information Retrieval
by: Macmillan-Scott, Olivia, et al.
Published: (2025)

CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
by: Chi, Yizhou, et al.
Published: (2024)

Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
by: Kembu, Vignesh Kumar, et al.
Published: (2025)

Bridging Language Gaps: Advances in Cross-Lingual Information Retrieval with Multilingual LLMs
by: Goworek, Roksana, et al.
Published: (2025)

Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation
by: Balog, Krisztian, et al.
Published: (2025)

Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
by: Bai, Yu, et al.
Published: (2024)

Refine Medical Diagnosis Using Generation Augmented Retrieval and Clinical Practice Guidelines
by: Li, Wenhao, et al.
Published: (2025)

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

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)

Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
by: Thakur, Nandan, et al.
Published: (2025)

Bottleneck-Minimal Indexing for Generative Document Retrieval
by: Du, Xin, et al.
Published: (2024)

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

Going over Fine Web with a Fine-Tooth Comb: Technical Report of Indexing Fine Web for Problematic Content Search and Retrieval
by: Marinas, Inés Altemir, et al.
Published: (2025)

CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
by: Keerthana, Garapati, et al.
Published: (2025)

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

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval
by: Fernandes, Peter, et al.
Published: (2026)

IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
by: Bao, Zhenghua, et al.
Published: (2026)

Improving Robustness of Tabular Retrieval via Representational Stability
by: Bhandari, Kushal Raj, et al.
Published: (2026)

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

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

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

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