Imagen de Portada

Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tian, Fangzheng, Ganguly, Debasis, Macdonald, Craig
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation
por: Tian, Fangzheng, et al.
Publicado: (2026)

Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
por: Tian, Fangzheng, et al.
Publicado: (2026)

Is Relevance Propagated from Retriever to Generator in RAG?
por: Tian, Fangzheng, et al.
Publicado: (2025)

Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG
por: Tian, Fangzheng, et al.
Publicado: (2025)

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines
por: Arabzadeh, Negar, et al.
Publicado: (2026)

Exploiting Positional Bias for Query-Agnostic Generative Content in Search
por: Parry, Andrew, et al.
Publicado: (2024)

Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework
por: Santra, Payel, et al.
Publicado: (2026)

Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction
por: Santra, Payel, et al.
Publicado: (2026)

Demographically-Inspired Query Variants Using an LLM
por: Alaofi, Marwah, et al.
Publicado: (2025)

Data Fusion of Synthetic Query Variants With Generative Large Language Models
por: Breuer, Timo
Publicado: (2024)

Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study
por: Alaofi, Marwah, et al.
Publicado: (2025)

T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
por: Chang, Xuejun, et al.
Publicado: (2025)

SuiteEval: Simplifying Retrieval Benchmarks
por: Parry, Andrew, et al.
Publicado: (2026)

"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"
por: Parry, Andrew, et al.
Publicado: (2024)

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
por: Sinhababu, Nilanjan, et al.
Publicado: (2024)

Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources
por: Rashid, Muhammad Shihab, et al.
Publicado: (2024)

Unsupervised Query Routing for Retrieval Augmented Generation
por: Mu, Feiteng, et al.
Publicado: (2025)

On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures
por: MacAvaney, Sean, et al.
Publicado: (2025)

Exploring the Nexus Between Retrievability and Query Generation Strategies
por: Sinha, Aman, et al.
Publicado: (2024)

Optimizing Query Generation for Enhanced Document Retrieval in RAG
por: Koo, Hamin, et al.
Publicado: (2024)

Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval
por: Yang, Eugene, et al.
Publicado: (2024)

Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
por: Yun, JungMin, et al.
Publicado: (2026)

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
por: Yang, Adam, et al.
Publicado: (2025)

In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code
por: Das, Susmita, et al.
Publicado: (2025)

QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
por: Dhole, Kaustubh D., et al.
Publicado: (2024)

LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
por: Chandra, Manish, et al.
Publicado: (2026)

A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval
por: Kostric, Ivica, et al.
Publicado: (2024)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
por: McKechnie, Jack, et al.
Publicado: (2025)

Enhancing Retrieval-Augmented Generation with Two-Stage Retrieval: FlashRank Reranking and Query Expansion
por: George, Sherine
Publicado: (2025)

TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
por: Yang, Yu, et al.
Publicado: (2025)

Backtracing: Retrieving the Cause of the Query
por: Wang, Rose E., et al.
Publicado: (2024)

Structure Guided Retrieval-Augmented Generation for Factual Queries
por: Xie, Miao, et al.
Publicado: (2026)

Bridging Queries and Tables through Entities in Table Retrieval
por: Li, Da, et al.
Publicado: (2025)

Passage Query Methods for Retrieval and Reranking in Conversational Agents
por: De Lima, Victor, et al.
Publicado: (2025)

TongSearch-QR: Reinforced Query Reasoning for Retrieval
por: Qin, Xubo, et al.
Publicado: (2025)

Quam: Adaptive Retrieval through Query Affinity Modelling
por: Rathee, Mandeep, et al.
Publicado: (2024)

Mixed-initiative Query Rewriting in Conversational Passage Retrieval
por: Yang, Dayu, et al.
Publicado: (2023)

Disentangling Locality and Entropy in Ranking Distillation
por: Parry, Andrew, et al.
Publicado: (2025)

Top-Down Partitioning for Efficient List-Wise Ranking
por: Parry, Andrew, et al.
Publicado: (2024)

Evaluating the Explainability of Neural Rankers
por: Pandian, Saran, et al.
Publicado: (2024)