TREC Deep Learning Track: Reusable Test Collections in the Large Data
Regime

TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime

19 April 2021

Daniel Fernando Campos

Papers citing "TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime"

10 / 10 papers shown

Title
Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets Mandeep Rathee Venktesh V Sean MacAvaney Avishek Anand KELM 32 1 0 12 Apr 2025
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking Chris Samarinas Hamed Zamani ALM LRM 74 0 0 04 Apr 2025
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection Sophia Althammer Guido Zuccon Sebastian Hofstatter Suzan Verberne Allan Hanbury 34 4 0 12 Sep 2023
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters Vaishali Pal Carlos Lassance Hervé Déjean S. Clinchant 135 3 0 23 Mar 2023
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark Vitor Jeronymo Mauricio Nascimento R. Lotufo Rodrigo Nogueira 20 3 0 27 Sep 2022
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling Sebastian Hofstatter Jiecao Chen K. Raman Hamed Zamani RALM 39 11 0 07 Jul 2022
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search Chandan K. Reddy Lluís Màrquez i Villodre Francisco B. Valero Nikhil S. Rao H. Zaragoza S. Bandyopadhyay Arnab Biswas Anlu Xing Karthik Subbian 15 45 0 14 Jun 2022
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos Jimmy J. Lin ALM 40 63 0 09 May 2021
Overview of the TREC 2020 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos 54 368 0 15 Feb 2021
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 239 611 0 13 Oct 2020