Copertina

KDH-MLTC: Knowledge Distillation for Healthcare Multi-Label Text Classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sakai, Hajar, Lam, Sarah S.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

QUAD-LLM-MLTC: Large Language Models Ensemble Learning for Healthcare Text Multi-Label Classification
di: Sakai, Hajar, et al.
Pubblicazione: (2025)

Large Language Models for Healthcare Text Classification: A Systematic Review
di: Sakai, Hajar, et al.
Pubblicazione: (2025)

HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling
di: Sakai, Hajar, et al.
Pubblicazione: (2025)

Large Language Models for Patient Comments Multi-Label Classification
di: Sakai, Hajar, et al.
Pubblicazione: (2024)

From Staff Messages to Actionable Insights: A Multi-Stage LLM Classification Framework for Healthcare Analytics
di: Sakai, Hajar, et al.
Pubblicazione: (2025)

Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
di: Pangakis, Nicholas, et al.
Pubblicazione: (2024)

Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
di: Di Palo, Flavio, et al.
Pubblicazione: (2024)

GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models
di: Ghali, Mohammed-Khalil, et al.
Pubblicazione: (2024)

A Debiased Nearest Neighbors Framework for Multi-Label Text Classification
di: Cheng, Zifeng, et al.
Pubblicazione: (2024)

LegalTurk Optimized BERT for Multi-Label Text Classification and NER
di: Zeidi, Farnaz, et al.
Pubblicazione: (2024)

Modeling Text-Label Alignment for Hierarchical Text Classification
di: Kumar, Ashish, et al.
Pubblicazione: (2024)

Multi-Label Clinical Text Eligibility Classification and Summarization System
di: Yerramsetty, Surya Tejaswi, et al.
Pubblicazione: (2025)

Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification
di: Xinkai, Du, et al.
Pubblicazione: (2023)

Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification
di: Wang, Xindi, et al.
Pubblicazione: (2024)

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting
di: Goyal, Vijay, et al.
Pubblicazione: (2024)

Exploring Contrastive Learning for Long-Tailed Multi-Label Text Classification
di: Audibert, Alexandre, et al.
Pubblicazione: (2024)

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
di: Ge, Xueren, et al.
Pubblicazione: (2023)

Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
di: Jin, Ruihan, et al.
Pubblicazione: (2026)

Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation
di: Bhattacharyya, Aniket, et al.
Pubblicazione: (2024)

Unsupervised Neural Network for Automated Classification of Surgical Urgency Levels in Medical Transcriptions
di: Tabatabaee, Sadaf, et al.
Pubblicazione: (2026)

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
di: Yu, Simon, et al.
Pubblicazione: (2023)

MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
di: Agarwal, Raunak, et al.
Pubblicazione: (2026)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification
di: Song, Yiping, et al.
Pubblicazione: (2024)

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors
di: Huang, Ming, et al.
Pubblicazione: (2025)

Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question Classification
di: Dong, Shi, et al.
Pubblicazione: (2024)

Multi-Label Classification for Implicit Discourse Relation Recognition
di: Long, Wanqiu, et al.
Pubblicazione: (2024)

Multi-Sense Embeddings for Language Models and Knowledge Distillation
di: Wang, Qitong, et al.
Pubblicazione: (2025)

Label Distribution Learning-Enhanced Dual-KNN for Text Classification
di: Yuan, Bo, et al.
Pubblicazione: (2025)

Knowledge Distillation with Structured Chain-of-Thought for Text-to-SQL
di: Thaker, Khushboo, et al.
Pubblicazione: (2025)

uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes
di: Waheed, Abdul, et al.
Pubblicazione: (2024)

Self-Regulated Data-Free Knowledge Amalgamation for Text Classification
di: Vijayaraghavan, Prashanth, et al.
Pubblicazione: (2024)

Text Classification Based on Knowledge Graphs and Improved Attention Mechanism
di: Li, Siyu, et al.
Pubblicazione: (2024)

LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking
di: Yan, Yan, et al.
Pubblicazione: (2025)

Large Language Models Do Multi-Label Classification Differently
di: Ma, Marcus, et al.
Pubblicazione: (2025)

The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification
di: Hatefi, Arezoo, et al.
Pubblicazione: (2025)

In-Context Learning for Extreme Multi-Label Classification
di: D'Oosterlinck, Karel, et al.
Pubblicazione: (2024)

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching
di: Li, Mingzhe, et al.
Pubblicazione: (2025)

Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation
di: Qiu, Huachuan, et al.
Pubblicazione: (2023)

Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
di: Guo, Yuting, et al.
Pubblicazione: (2025)

Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
di: Lorenzoni, Giuliano, et al.
Pubblicazione: (2024)