InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers

8 January 2023

Papers citing "InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers"

8 / 8 papers shown

Title
LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue Sangyeop Kim S. Park Jaewon Jung Jinseok Kim Sungzoon Cho 45 0 0 06 Mar 2025
A Survey of Model Architectures in Information Retrieval Zhichao Xu Fengran Mo Zhiqi Huang Crystina Zhang Puxuan Yu Bei Wang Jimmy J. Lin Vivek Srikumar KELM 3DV 58 2 0 21 Feb 2025
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval Nandan Thakur Jianmo Ni Gustavo Hernández Ábrego John Wieting Jimmy J. Lin Daniel Cer RALM 31 12 0 10 Nov 2023
RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models Ronak Pradeep Sahel Sharifymoghaddam Jimmy Lin ALM 35 36 0 26 Sep 2023
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 231 971 0 17 Apr 2021
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 224 611 0 13 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 175 685 0 10 Oct 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 465 0 17 Mar 2020