Cover Image

Test-time Corpus Feedback: From Retrieval to RAG

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rathee, Mandeep, Venktesh, V, MacAvaney, Sean, Anand, Avishek
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Guiding Retrieval using LLM-based Listwise Rankers
by: Rathee, Mandeep, et al.
Published: (2025)

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets
by: Rathee, Mandeep, et al.
Published: (2025)

Reproducing Adaptive Reranking for Reasoning-Intensive IR
by: Rathee, Mandeep, et al.
Published: (2026)

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

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
by: Venktesh, V, et al.
Published: (2026)

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA
by: Venktesh, V, et al.
Published: (2025)

Artifact Sharing for Information Retrieval Research
by: MacAvaney, Sean
Published: (2025)

Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
by: Pezzuti, Francesca, et al.
Published: (2025)

Trust but Verify! A Survey on Verification Design for Test-time Scaling
by: Venktesh, V, et al.
Published: (2025)

Document Quality Scoring for Web Crawling
by: Pezzuti, Francesca, et al.
Published: (2025)

The Surprising Effectiveness of Rankers Trained on Expanded Queries
by: Anand, Abhijit, et al.
Published: (2024)

Understanding the User: An Intent-Based Ranking Dataset
by: Anand, Abhijit, et al.
Published: (2024)

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

SuiteEval: Simplifying Retrieval Benchmarks
by: Parry, Andrew, et al.
Published: (2026)

Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer
by: Chari, Andreas, et al.
Published: (2025)

Shallow Cross-Encoders for Low-Latency Retrieval
by: Petrov, Aleksandr V., et al.
Published: (2024)

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

Training on the Test Model: Contamination in Ranking Distillation
by: Kalal, Vishakha Suresh, et al.
Published: (2024)

A Deep Learning Approach for Selective Relevance Feedback
by: Datta, Suchana, et al.
Published: (2024)

A Reproducibility Study of PLAID
by: MacAvaney, Sean, et al.
Published: (2024)

Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)

MechIR: A Mechanistic Interpretability Framework for Information Retrieval
by: Parry, Andrew, et al.
Published: (2025)

LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors
by: Kulkarni, Hrishikesh, et al.
Published: (2024)

Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023
by: Parry, Andrew, et al.
Published: (2024)

Machine Unlearning for Recommendation Systems: An Insight
by: Sachdeva, Bhavika, et al.
Published: (2024)

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
by: Weller, Orion, et al.
Published: (2024)

PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
by: Khaledian, Arman, et al.
Published: (2025)

SAGE: A Framework of Precise Retrieval for RAG
by: Zhang, Jintao, et al.
Published: (2025)

Neural Prioritisation for Web Crawling
by: Pezzuti, Francesca, et al.
Published: (2025)

Lost in Transliteration: Bridging the Script Gap in Neural IR
by: Chari, Andreas, et al.
Published: (2025)

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

TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
by: Kashmira, Savini, et al.
Published: (2024)

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

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

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

Revisiting Text Ranking in Deep Research
by: Meng, Chuan, et al.
Published: (2026)

RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis
by: Shi, Daqian, et al.
Published: (2026)

VideoRAG: Retrieval-Augmented Generation over Video Corpus
by: Jeong, Soyeong, et al.
Published: (2025)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
by: Cofala, Tim, et al.
Published: (2025)