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ClusterLLM: Large Language Models as a Guide for Text Clustering

ClusterLLM: Large Language Models as a Guide for Text Clustering

24 May 2023
Yuwei Zhang
Zihan Wang
Jingbo Shang
ArXivPDFHTML

Papers citing "ClusterLLM: Large Language Models as a Guide for Text Clustering"

20 / 20 papers shown
Title
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Helia Hashemi
J. Eisner
Corby Rosset
Benjamin Van Durme
Chris Kedzie
100
3
0
03 Jan 2025
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDa
MoMe
171
1,611
0
15 Dec 2022
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Liang Wang
Nan Yang
Xiaolong Huang
Binxing Jiao
Linjun Yang
Daxin Jiang
Rangan Majumder
Furu Wei
VLM
218
594
0
07 Dec 2022
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
103
42
0
25 May 2022
Large Dual Encoders Are Generalizable Retrievers
Large Dual Encoders Are Generalizable Retrievers
Jianmo Ni
Chen Qu
Jing Lu
Zhuyun Dai
Gustavo Hernández Ábrego
...
Vincent Zhao
Yi Luan
Keith B. Hall
Ming-Wei Chang
Yinfei Yang
DML
150
451
0
15 Dec 2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text
  Models
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
Jianmo Ni
Gustavo Hernández Ábrego
Noah Constant
Ji Ma
Keith B. Hall
Daniel Cer
Yinfei Yang
189
556
0
19 Aug 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Few-NERD: A Few-Shot Named Entity Recognition Dataset
Ning Ding
Guangwei Xu
Yulin Chen
Xiaobin Wang
Xu Han
Pengjun Xie
Haitao Zheng
Zhiyuan Liu
68
234
0
16 May 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILaw
SSL
253
3,371
0
18 Apr 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
66
200
0
24 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
80
152
0
17 Mar 2021
Discovering New Intents with Deep Aligned Clustering
Discovering New Intents with Deep Aligned Clustering
Hanlei Zhang
Hua Xu
Ting-En Lin
Rui Lv
75
119
0
16 Dec 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLM
SSL
103
538
0
25 May 2020
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
339
470
0
10 Mar 2020
Meta-Learning with Dynamic-Memory-Based Prototypical Network for
  Few-Shot Event Detection
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
Shumin Deng
Ningyu Zhang
Jiaojian Kang
Yichi Zhang
Wei Zhang
Huajun Chen
68
134
0
25 Oct 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
253
247
0
16 Oct 2019
An Evaluation Dataset for Intent Classification and Out-of-Scope
  Prediction
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson
Anish Mahendran
Joseph Peper
Christopher Clarke
Andrew Lee
...
Jonathan K. Kummerfeld
Kevin Leach
M. Laurenzano
Lingjia Tang
Jason Mars
96
528
0
04 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.2K
12,129
0
27 Aug 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
142
1,272
0
20 May 2019
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
49
816
0
13 Apr 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
79
2,869
0
19 Nov 2015
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