Copertina

Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Audibert, Alexandre, Gauffre, Aurélien, Amini, Massih-Reza
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computation and Language Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-Label Contrastive Learning : A Comprehensive Study
di: Audibert, Alexandre, et al.
Pubblicazione: (2024)

A Unified Contrastive Loss for Self-Training
di: Gauffre, Aurelien, et al.
Pubblicazione: (2024)

FaMTEB: Massive Text Embedding Benchmark in Persian Language
di: Zinvandi, Erfan, et al.
Pubblicazione: (2025)

Exploring Selective Retrieval-Augmentation for Long-Tail Legal Text Classification
di: Mao, Boheng
Pubblicazione: (2025)

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts
di: Neumann, Julius, et al.
Pubblicazione: (2025)

Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
di: Esfandiarpoor, Reza, et al.
Pubblicazione: (2025)

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
di: Mariotti, Luca, et al.
Pubblicazione: (2025)

SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
di: Liu, Kang
Pubblicazione: (2024)

Optimizing Multi-Stage Language Models for Effective Text Retrieval
di: Trung, Quang Hoang, et al.
Pubblicazione: (2024)

GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification
di: Wang, Yubo, et al.
Pubblicazione: (2025)

When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2024)

AstroConcepts: A Large-Scale Multi-Label Classification Corpus for Astrophysics
di: Alkan, Atilla Kaan, et al.
Pubblicazione: (2026)

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
di: Xu, Binbin, et al.
Pubblicazione: (2025)

Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
di: Hasan, Khalid, et al.
Pubblicazione: (2025)

Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
di: Ai, Wei, et al.
Pubblicazione: (2024)

Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
di: Nagda, Mayank, et al.
Pubblicazione: (2024)

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
di: Song, Jonghyun, et al.
Pubblicazione: (2025)

LongRecall: A Structured Approach for Robust Recall Evaluation in Long-Form Text
di: Ardestani, MohamamdJavad, et al.
Pubblicazione: (2025)

RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment
di: Lu, Chenji, et al.
Pubblicazione: (2025)

Description-Based Text Similarity
di: Ravfogel, Shauli, et al.
Pubblicazione: (2023)

Methods for Generating Drift in Text Streams
di: Garcia, Cristiano Mesquita, et al.
Pubblicazione: (2024)

New Directions in Text Classification Research: Maximizing The Performance of Sentiment Classification from Limited Data
di: Agustian, Surya, et al.
Pubblicazione: (2024)

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
di: Brinner, Marc, et al.
Pubblicazione: (2025)

M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
di: Bai, Yang, et al.
Pubblicazione: (2024)

Description Boosting for Zero-Shot Entity and Relation Classification
di: Picco, Gabriele, et al.
Pubblicazione: (2024)

Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels
di: Xian, Jasper, et al.
Pubblicazione: (2024)

Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
di: Jiang, Ye, et al.
Pubblicazione: (2025)

Text Mining Analysis of Symptom Patterns in Medical Chatbot Conversations
di: Razavi, Hamed
Pubblicazione: (2025)

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval
di: Trung, Quang Hoang, et al.
Pubblicazione: (2024)

gTBLS: Generating Tables from Text by Conditional Question Answering
di: Sundar, Anirudh, et al.
Pubblicazione: (2024)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
di: Qin, Zhen, et al.
Pubblicazione: (2023)

One Word is Enough: Minimal Adversarial Perturbations for Neural Text Ranking
di: Karmakar, Tanmay, et al.
Pubblicazione: (2026)

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
di: Vujanic, Robin, et al.
Pubblicazione: (2025)

A Platform for Investigating Public Health Content with Efficient Concern Classification
di: Li, Christopher, et al.
Pubblicazione: (2025)

AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
di: Rezaei, Mohammad Reza, et al.
Pubblicazione: (2024)

Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review
di: Garcia, Cristiano Mesquita, et al.
Pubblicazione: (2023)

SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas
di: Wolff, Cornelius, et al.
Pubblicazione: (2025)

Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
di: Liu, Tong, et al.
Pubblicazione: (2024)

Improving Word Translation via Two-Stage Contrastive Learning
di: Li, Yaoyiran, et al.
Pubblicazione: (2022)

FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark
di: Kim, Heegyu, et al.
Pubblicazione: (2024)