Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2306.02516
Cited By
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
5 June 2023
Fedor Moiseev
Gustavo Hernández Ábrego
Peter Dornbach
I. Zitouni
Enrique Alfonseca
Zhe Dong
Re-assign community
ArXiv
PDF
HTML
Papers citing
"SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives"
6 / 6 papers shown
Title
How effective is Multi-source pivoting for Translation of Low Resource Indian Languages?
Pranav Gaikwad
Meet Doshi
Raj Dabre
Pushpak Bhattacharyya
16
0
0
19 Jun 2024
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark
Hongliu Cao
AI4TS
27
11
0
27 May 2024
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Jinhyuk Lee
Zhuyun Dai
Xiaoqi Ren
Blair Chen
Daniel Matthew Cer
...
Aditya Kusupati
Prateek Jain
Siddhartha Reddy Jonnalagadda
Ming-Wei Chang
Iftekhar Naim
RALM
VLM
SyDa
33
40
0
29 Mar 2024
Towards General Text Embeddings with Multi-stage Contrastive Learning
Zehan Li
Xin Zhang
Yanzhao Zhang
Dingkun Long
Pengjun Xie
Meishan Zhang
47
336
0
07 Aug 2023
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
Ruiyang Ren
Shangwen Lv
Yingqi Qu
Jing Liu
Wayne Xin Zhao
Qiaoqiao She
Hua-Hong Wu
Haifeng Wang
Ji-Rong Wen
118
90
0
13 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
229
961
0
17 Apr 2021
1