Cover Image

Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parry, Andrew, Jaenich, Thomas, MacAvaney, Sean, Ounis, Iadh
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Query Exposure Prediction for Groups of Documents in Rankings
by: Jaenich, Thomas, et al.
Published: (2024)

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

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

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

Pipeline Inspection, Visualization, and Interoperability in PyTerrier
by: Lionis, Emmanouil Georgios, et al.
Published: (2026)

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

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

Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models
by: Parry, Andrew, et al.
Published: (2024)

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

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

Overview of the TREC 2025 RAGTIME Track
by: Lawrie, Dawn, et al.
Published: (2026)

Overview of the TREC 2023 NeuCLIR Track
by: Lawrie, Dawn, et al.
Published: (2024)

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

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

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

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

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

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

Variations in Relevance Judgments and the Shelf Life of Test Collections
by: Parry, Andrew, et al.
Published: (2025)

Overview of the TREC 2024 NeuCLIR Track
by: Lawrie, Dawn, et al.
Published: (2025)

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

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

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

Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank
by: Liang, Zeyan, et al.
Published: (2025)

Quantifying Query Fairness Under Unawareness
by: Jaenich, Thomas, et al.
Published: (2025)

Test-time Corpus Feedback: From Retrieval to RAG
by: Rathee, Mandeep, et al.
Published: (2025)

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

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

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)

Genetic Approach to Mitigate Hallucination in Generative IR
by: Kulkarni, Hrishikesh, et al.
Published: (2024)

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

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

Neural Passage Quality Estimation for Static Pruning
by: Chang, Xuejun, et al.
Published: (2024)

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

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)

A Directional Diffusion Graph Transformer for Recommendation
by: Yi, Zixuan, et al.
Published: (2024)

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

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