Copertina

A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Peng, Cheng, Lyu, Mengxian, Chen, Ziyi, Wu, Yonghui
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
di: Chen, Ziyi, et al.
Pubblicazione: (2026)

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
di: Lyu, Mengxian, et al.
Pubblicazione: (2026)

Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging
di: Lyu, Mengxian, et al.
Pubblicazione: (2026)

Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models
di: Chen, Ziyi, et al.
Pubblicazione: (2026)

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
di: Peng, Cheng, et al.
Pubblicazione: (2025)

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
di: Peng, Cheng, et al.
Pubblicazione: (2023)

UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models
di: Lyu, Mengxian, et al.
Pubblicazione: (2024)

Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning
di: Lyu, Mengxian, et al.
Pubblicazione: (2024)

Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition
di: McDonald, Tyler, et al.
Pubblicazione: (2025)

A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
di: Liu, Ziyi
Pubblicazione: (2025)

Facilitating Opinion Diversity through Hybrid NLP Approaches
di: van der Meer, Michiel
Pubblicazione: (2024)

COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing
di: Sheth, Rajvee, et al.
Pubblicazione: (2025)

Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning
di: Pal, Sayantan, et al.
Pubblicazione: (2024)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
di: Jiang, Jiyue, et al.
Pubblicazione: (2025)

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
di: Qin, Yang, et al.
Pubblicazione: (2024)

Natural Language Generation in Healthcare: A Review of Methods and Applications
di: Lyu, Mengxian, et al.
Pubblicazione: (2025)

Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
di: Lan, Pengxiang, et al.
Pubblicazione: (2025)

PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
di: Tsai, Yu-Che, et al.
Pubblicazione: (2026)

Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning
di: Peng, Cheng, et al.
Pubblicazione: (2025)

Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
di: Pouramini, Ahmad, et al.
Pubblicazione: (2024)

PLPP: Prompt Learning with Perplexity Is Self-Distillation for Vision-Language Models
di: Liu, Biao, et al.
Pubblicazione: (2024)

Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP
di: Chen, Ziyi, et al.
Pubblicazione: (2023)

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
di: Tu, Lifu, et al.
Pubblicazione: (2023)

LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
di: Yang, Runming, et al.
Pubblicazione: (2024)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
di: Cheetirala, Satya Narayana, et al.
Pubblicazione: (2025)

ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
di: Lin, Yu-Chen, et al.
Pubblicazione: (2024)

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
di: Feng, Wenfeng, et al.
Pubblicazione: (2024)

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
di: Frohmann, Markus, et al.
Pubblicazione: (2023)

Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish
di: Philippy, Fred, et al.
Pubblicazione: (2026)

DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
di: Peng, Dengyun, et al.
Pubblicazione: (2025)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
di: Vatsal, Shubham, et al.
Pubblicazione: (2024)

RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
di: Yang, Jing, et al.
Pubblicazione: (2024)

Advancing Prompt Recovery in NLP: A Deep Dive into the Integration of Gemma-2b-it and Phi2 Models
di: Chen, Jianlong, et al.
Pubblicazione: (2024)

BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLP
di: Sounack, Thomas, et al.
Pubblicazione: (2025)

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts
di: Chowdhury, Anjir Ahmed, et al.
Pubblicazione: (2026)

Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
di: Vöge, Lukas, et al.
Pubblicazione: (2024)

Distilling Text Style Transfer With Self-Explanation From LLMs
di: Zhang, Chiyu, et al.
Pubblicazione: (2024)

CrossPT: Exploring Cross-Task Transferability through Multi-Task Prompt Tuning
di: Pouramini, Ahmad, et al.
Pubblicazione: (2025)

Automatic Prompt Optimization with Prompt Distillation
di: Dyagin, Ernest A., et al.
Pubblicazione: (2025)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
di: Zeng, Jingying, et al.
Pubblicazione: (2025)