The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

28 December 2020

Papers citing "The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes"

11 / 11 papers shown

Title
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism Hippolyte Gisserot-Boukhlef Manuel Faysse Emmanuel Malherbe C´eline Hudelot Pierre Colombo 36 2 0 20 Feb 2024
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models Barry Menglong Yao Aditya Shah Lichao Sun Jin-Hee Cho Lifu Huang MLLM LRM 46 79 0 25 May 2022
Modeling Exemplification in Long-form Question Answering via Retrieval Shufan Wang Fangyuan Xu Laure Thompson Eunsol Choi Mohit Iyyer 41 10 0 19 May 2022
A Thorough Examination on Zero-shot Dense Retrieval Ruiyang Ren Yingqi Qu Qingbin Liu Wayne Xin Zhao Qifei Wu Yuchen Ding Hua Wu Haifeng Wang Ji-Rong Wen 37 41 0 27 Apr 2022
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access Vilém Zouhar Marius Mosbach Debanjali Biswas Dietrich Klakow KELM 34 4 0 24 Jan 2022
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog Chia-Chien Hung Anne Lauscher Simone Paolo Ponzetto Goran Glavaš 39 31 0 15 Oct 2021
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? Xilun Chen Kushal Lakhotia Barlas Oğuz Anchit Gupta Patrick Lewis Stanislav Peshterliev Yashar Mehdad Sonal Gupta Wen-tau Yih 58 68 0 13 Oct 2021
mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset L. Bonifacio Vitor Jeronymo Hugo Queiroz Abonizio Israel Campiotti Marzieh Fadaee R. Lotufo Rodrigo Nogueira 42 108 0 31 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 270 977 0 17 Apr 2021
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval Kyoung-Rok Jang Junmo Kang Giwon Hong Sung-Hyon Myaeng Joohee Park Taewon Yoon Heecheol Seo 39 20 0 15 Apr 2021
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 468 0 17 Mar 2020