SOTAVerified

Text Clustering

Grouping a set of texts in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). (Source: Adapted from Wikipedia)

Papers

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Showing 1–50 of 123 papers

TitleStatusHype
MTEB: Massive Text Embedding BenchmarkCode4
Text Clustering as Classification with LLMsCode1
Large Language Models Enable Few-Shot ClusteringCode1
ClusterLLM: Large Language Models as a Guide for Text ClusteringCode1
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text ClusteringCode1
DeepLens: Interactive Out-of-distribution Data Detection in NLP ModelsCode1
Training Effective Neural Sentence Encoders from Automatically Mined ParaphrasesCode1
EASE: Entity-Aware Contrastive Learning of Sentence EmbeddingCode1
Proposition-Level Clustering for Multi-Document SummarizationCode1
Proposition-Level Clustering for Multi-Document SummarizationCode1
Supporting Clustering with Contrastive LearningCode1
Discovering New Intents with Deep Aligned ClusteringCode1
ComStreamClust: a communicative multi-agent approach to text clustering in streaming dataCode1
Dissimilarity Mixture Autoencoder for Deep ClusteringCode1
Neural Topic Modeling with Bidirectional Adversarial TrainingCode1
Enhancement of Short Text Clustering by Iterative ClassificationCode1
Short Text Clustering via Convolutional Neural NetworksCode1
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward PassCode0
Moving Past Single Metrics: Exploring Short-Text Clustering Across Multiple Resolutions—0
Advanced Text Analytics -- Graph Neural Network for Fake News Detection in Social Media—0
k-LLMmeans: Scalable, Stable, and Interpretable Text Clustering via LLM-based Centroids—0
Reliable Pseudo-labeling via Optimal Transport with Attention for Short Text ClusteringCode0
Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text ClusteringCode0
LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework—0
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Contrastive Learning Subspace for Text Clustering—0
NeurCAM: Interpretable Neural Clustering via Additive ModelsCode0
Extracting Sentence Embeddings from Pretrained Transformer Models—0
An Efficient and Explanatory Image and Text Clustering System with Multimodal Autoencoder Architecture—0
Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 PandemicCode0
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models—0
Human-interpretable clustering of short-text using large language modelsCode0
Context-Aware Clustering using Large Language Models—0
Text clustering applied to data augmentation in legal contexts—0
Text Clustering with Large Language Model Embeddings—0
More Discriminative Sentence Embeddings via Semantic Graph SmoothingCode0
An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering—0
Automatic Construction of Multi-faceted User Profiles using Text Clustering and its Application to Expert Recommendation and Filtering Problems—0
Incremental hierarchical text clustering methods: a review—0
Federated Learning for Short Text Clustering—0
Elastic deep autoencoder for text embedding clustering by an improved graph regularization—0
LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM—0
Influence of various text embeddings on clustering performance in NLPCode0
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering—0
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models—0
ClusTop: An unsupervised and integrated text clustering and topic extraction framework—0
Very Large Language Model as a Unified Methodology of Text MiningCode0
Improving Deep Embedded Clustering via Learning Cluster-level Representations—0
Clustering-Induced Generative Incomplete Image-Text Clustering (CIGIT-C)—0
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All datasetsMTEB20 NewsgroupsUrdu News Headlines Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLV-Measure43.71—Unverified
2MPNetV-Measure43.69—Unverified
3GTR-XXLV-Measure42.42—Unverified
4MiniLM-L6V-Measure42.35—Unverified
5ST5-XLV-Measure42.34—Unverified
6MiniLM-L12V-Measure41.81—Unverified
7ST5-LargeV-Measure41.65—Unverified
8GTR-LargeV-Measure41.6—Unverified
9GTR-XLV-Measure41.51—Unverified
10ContrieverV-Measure41.1—Unverified
#ModelMetricClaimedVerifiedStatus
1G-BATAccuracy41.25—Unverified
2BATAccuracy35.66—Unverified
#ModelMetricClaimedVerifiedStatus
1Vector Space ModelRelated Headlines85—Unverified