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PCL: Peer-Contrastive Learning with Diverse Augmentations for
  Unsupervised Sentence Embeddings
v1v2 (latest)

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
28 January 2022
Qiyu Wu
Chongyang Tao
Tao Shen
Can Xu
Xiubo Geng
Daxin Jiang
    SSL
ArXiv (abs)PDFHTMLGithub (159708★)

Papers citing "PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings"

14 / 14 papers shown
MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval
MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval
Qiyu Wu
Shuyang Cui
Satoshi Hayakawa
Wei-Yao Wang
Hiromi Wakaki
Yuki Mitsufuji
133
0
0
17 Oct 2025
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
Ruize An
Richong Zhang
Zhijie Nie
Zhanyu Wu
Yanzhao Zhang
Dingkun Long
164
0
0
11 Oct 2025
On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
Meishan Zhang
Xin Zhang
X. Zhao
Shouzheng Huang
Baotian Hu
Min Zhang
370
4
0
28 Jul 2025
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
Yuanzhe Hu
Yu Wang
Julian McAuley
LLMAGKELMELM
254
59
0
07 Jul 2025
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
Zhonghao Li
Kunpeng Zhang
Jinghuai Ou
Qi Zheng
Xuming Hu
480
3
0
28 Apr 2025
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Lang Huang
Qiyu Wu
Zhongtao Miao
T. Yamasaki
1.0K
7
0
27 Feb 2025
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A
  Representation Rank Analysis
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank AnalysisIEEE Access (IEEE Access), 2024
Euna Jung
Jaeill Kim
Jungmin Ko
Jinwoo Park
Wonjong Rhee
277
0
0
18 May 2024
TransliCo: A Contrastive Learning Framework to Address the Script
  Barrier in Multilingual Pretrained Language Models
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yihong Liu
Chunlan Ma
Haotian Ye
Hinrich Schütze
323
3
0
12 Jan 2024
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
Jiahao Xu
Wei Shao
Lihui Chen
Lemao Liu
FedML
412
9
0
20 Oct 2023
RankCSE: Unsupervised Sentence Representations Learning via Learning to
  Rank
RankCSE: Unsupervised Sentence Representations Learning via Learning to RankAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiduan Liu
Jiahao Liu
Qifan Wang
Jingang Wang
Wei Wu
Yunsen Xian
Dongyan Zhao
Kai Chen
Rui Yan
SSL
295
54
0
26 May 2023
Contrastive Learning of Sentence Embeddings from Scratch
Contrastive Learning of Sentence Embeddings from ScratchConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Junlei Zhang
Zhenzhong Lan
Junxian He
SSL
507
37
0
24 May 2023
A Comprehensive Survey of Sentence Representations: From the BERT Epoch
  to the ChatGPT Era and Beyond
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the ChatGPT Era and BeyondConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Abhinav Ramesh Kashyap
Thang-Tung Nguyen
Viktor Schlegel
Stefan Winkler
See-Kiong Ng
Soujanya Poria
AI4TS3DVSSL
255
18
0
22 May 2023
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence
  Embeddings
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
T. Klein
Moin Nabi
SSL
274
22
0
09 Nov 2022
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularizationComputer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
1.1K
661
0
05 Mar 2020
1
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