Evaluating Embedding APIs for Information Retrieval

10 May 2023

Papers citing "Evaluating Embedding APIs for Information Retrieval"

8 / 8 papers shown

Title
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks Melissa Ailem Katerina Marazopoulou Charlotte Siska James Bono 51 13 0 25 Apr 2024
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 Matthew Cer RALM 21 12 0 10 Nov 2023
Constructing Cross-lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content Chia-Hsuan Chang Lei Wang Christopher C. Yang 11 1 0 23 Jun 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 204 412 0 24 Jan 2022
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 961 0 17 Apr 2021
Distilling Knowledge from Reader to Retriever for Question Answering Gautier Izacard Edouard Grave RALM 173 249 0 08 Dec 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 214 607 0 13 Oct 2020