hierarchical multi-label classification

Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? COLING 2025 Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training IJCAI 2025 Irapuarani at SemEval-2025 Task 10: Evaluating Strategies Combining Small and Large Language Models for Multilingual Narrative Detection SemEval 2025 Jump To Hyperspace: Comparing Euclidean and Hyperbolic Loss Functions for Hierarchical Multi-Label Text Classification COLING 2025 BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes SemEval 2024 IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes SemEval 2024 NLPNCHU at SemEval-2024 Task 4: A Comparison of MDHC Strategy and In-domain Pre-training for Multilingual Detection of Persuasion Techniques in Memes SemEval 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024 Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification ACML 2023 Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification EMNLP 2023 Hierarchical Multi-Label Classification of Scientific Documents EMNLP 2022 Coherent Hierarchical Multi-Label Classification Networks NeurIPS 2020 F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification IJCAI 2020 Hyperbolic Interaction Model for Hierarchical Multi-Label Classification AAAI 2020 NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit ACL 2019 Cost-Effective Active Learning for Hierarchical Multi-Label Classification IJCAI 2018 Hierarchical Multi-Label Classification Networks ICML 2018 Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006