Small LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian
Fuente:
arXiv
Saved in:
| Main Authors: | Ferrazzi, Pietro, Franzin, Mattia, Lavelli, Alberto, Magnini, Bernardo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Converting Annotated Clinical Cases into Structured Case Report Forms
by: Ferrazzi, Pietro, et al.
Published: (2025)
by: Ferrazzi, Pietro, et al.
Published: (2025)
Low-resource Information Extraction with the European Clinical Case Corpus
by: Ghosh, Soumitra, et al.
Published: (2025)
by: Ghosh, Soumitra, et al.
Published: (2025)
Toward Automatic Filling of Case Report Forms: A Case Study on Data from an Italian Emergency Department
by: Kaczmarek, Gabriela Anna, et al.
Published: (2026)
by: Kaczmarek, Gabriela Anna, et al.
Published: (2026)
Evaluating Task-Oriented Dialogue Consistency through Constraint Satisfaction
by: Labruna, Tiziano, et al.
Published: (2024)
by: Labruna, Tiziano, et al.
Published: (2024)
Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning
by: Tzach, Yarden, et al.
Published: (2025)
by: Tzach, Yarden, et al.
Published: (2025)
Multilingual Medical Reasoning for Question Answering with Large Language Models
by: Ferrazzi, Pietro, et al.
Published: (2025)
by: Ferrazzi, Pietro, et al.
Published: (2025)
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
by: Jindal, Ishan, et al.
Published: (2024)
by: Jindal, Ishan, et al.
Published: (2024)
Evalita-LLM: Benchmarking Large Language Models on Italian
by: Magnini, Bernardo, et al.
Published: (2025)
by: Magnini, Bernardo, et al.
Published: (2025)
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
by: Duan, Yifei, et al.
Published: (2024)
by: Duan, Yifei, et al.
Published: (2024)
Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
by: García-Ferrero, Iker, et al.
Published: (2024)
by: García-Ferrero, Iker, et al.
Published: (2024)
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
by: Lan, Jiayin, et al.
Published: (2025)
by: Lan, Jiayin, et al.
Published: (2025)
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
by: Kim, Taeho, et al.
Published: (2024)
by: Kim, Taeho, et al.
Published: (2024)
Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
by: Ren, Zhe
Published: (2025)
by: Ren, Zhe
Published: (2025)
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging
by: Farn, Hua, et al.
Published: (2024)
by: Farn, Hua, et al.
Published: (2024)
Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
by: Basem, Mohamed, et al.
Published: (2025)
by: Basem, Mohamed, et al.
Published: (2025)
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
by: Maity, Subhankar, et al.
Published: (2025)
by: Maity, Subhankar, et al.
Published: (2025)
Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems
by: Hikal, Baraa, et al.
Published: (2025)
by: Hikal, Baraa, et al.
Published: (2025)
Is Agentic RAG worth it? An experimental comparison of RAG approaches
by: Ferrazzi, Pietro, et al.
Published: (2026)
by: Ferrazzi, Pietro, et al.
Published: (2026)
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
by: Li, Pengyi, et al.
Published: (2025)
by: Li, Pengyi, et al.
Published: (2025)
Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models
by: Doering, Nigel, et al.
Published: (2024)
by: Doering, Nigel, et al.
Published: (2024)
Fine-Tuning LLMs for Reliable Medical Question-Answering Services
by: Anaissi, Ali, et al.
Published: (2024)
by: Anaissi, Ali, et al.
Published: (2024)
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
by: Ma, Shengkun, et al.
Published: (2024)
by: Ma, Shengkun, et al.
Published: (2024)
Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
by: Bucher, Martin Juan José, et al.
Published: (2024)
by: Bucher, Martin Juan José, et al.
Published: (2024)
Fine-Tuning Pre-Trained Code Models for AI-Generated Code Detection
by: Ispas, Jany-Gabriel, et al.
Published: (2026)
by: Ispas, Jany-Gabriel, et al.
Published: (2026)
Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning
by: Azadi, AmirMohammad, et al.
Published: (2024)
by: Azadi, AmirMohammad, et al.
Published: (2024)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)
by: Trad, Fouad, et al.
Published: (2025)
Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
by: Kothari, Sara, et al.
Published: (2025)
by: Kothari, Sara, et al.
Published: (2025)
Domain-Adaptive Continued Pre-Training of Small Language Models
by: Faroz, Salman
Published: (2025)
by: Faroz, Salman
Published: (2025)
Augmented Relevance Datasets with Fine-Tuned Small LLMs
by: Fitte-Rey, Quentin, et al.
Published: (2025)
by: Fitte-Rey, Quentin, et al.
Published: (2025)
InfiMed-Foundation: Pioneering Advanced Multimodal Medical Models with Compute-Efficient Pre-Training and Multi-Stage Fine-Tuning
by: Zhu, Guanghao, et al.
Published: (2025)
by: Zhu, Guanghao, et al.
Published: (2025)
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
by: Zhang, Haode, et al.
Published: (2023)
by: Zhang, Haode, et al.
Published: (2023)
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
by: Lin, Chun-Hsien, et al.
Published: (2024)
by: Lin, Chun-Hsien, et al.
Published: (2024)
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs
by: Goel, Raghavv, et al.
Published: (2024)
by: Goel, Raghavv, et al.
Published: (2024)
LLMs on Drugs: Language Models Are Few-Shot Consumers
by: Doudkin, Alexander
Published: (2025)
by: Doudkin, Alexander
Published: (2025)
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
by: Ozyurt, Yilmazcan, et al.
Published: (2023)
by: Ozyurt, Yilmazcan, et al.
Published: (2023)
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
by: Hasan, Md. Arid, et al.
Published: (2023)
by: Hasan, Md. Arid, et al.
Published: (2023)
Few-Shot, No Problem: Descriptive Continual Relation Extraction
by: Thanh, Nguyen Xuan, et al.
Published: (2025)
by: Thanh, Nguyen Xuan, et al.
Published: (2025)
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
by: Leite, Bernardo, et al.
Published: (2024)
by: Leite, Bernardo, et al.
Published: (2024)
Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
by: Wang, Yubo, et al.
Published: (2025)
by: Wang, Yubo, et al.
Published: (2025)
Similar Items
-
Converting Annotated Clinical Cases into Structured Case Report Forms
by: Ferrazzi, Pietro, et al.
Published: (2025) -
Low-resource Information Extraction with the European Clinical Case Corpus
by: Ghosh, Soumitra, et al.
Published: (2025) -
Toward Automatic Filling of Case Report Forms: A Case Study on Data from an Italian Emergency Department
by: Kaczmarek, Gabriela Anna, et al.
Published: (2026) -
Evaluating Task-Oriented Dialogue Consistency through Constraint Satisfaction
by: Labruna, Tiziano, et al.
Published: (2024) -
Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning
by: Tzach, Yarden, et al.
Published: (2025)