Language Models are Universal Embedders

Language Models are Universal Embedders

12 October 2023

Min Zhang

Papers citing "Language Models are Universal Embedders"

6 / 6 papers shown

Title
jina-embeddings-v3: Multilingual Embeddings With Task LoRA Saba Sturua Isabelle Mohr Mohammad Kalim Akram Michael Gunther Bo Wang ... Feng Wang Georgios Mastrapas Andreas Koukounas Nan Wang Han Xiao RALM 32 23 0 16 Sep 2024
Extracting Paragraphs from LLM Token Activations Nicholas Pochinkov Angelo Benoit Lovkush Agarwal Zainab Ali Majid Lucile Ter-Minassian 30 1 0 10 Sep 2024
Improving Text Embeddings with Large Language Models Liang Wang Nan Yang Xiaolong Huang Linjun Yang Rangan Majumder Furu Wei SyDa 14 154 0 31 Dec 2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Yidong Wang Zhuohao Yu Zhengran Zeng Linyi Yang Cunxiang Wang ... Jindong Wang Xingxu Xie Wei Ye Shi-Bo Zhang Yue Zhang ALM ELM 35 222 0 08 Jun 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback M. Abouheaf W. Gueaieb Md. Suruz Miah D. Spinello Xipeng Qiu 51 37 0 03 May 2023
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