Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Fuente:
arXiv
Guardado en:
| Autores principales: | Zaghir, Jamil, Naguib, Marco, Bjelogrlic, Mina, Névéol, Aurélie, Tannier, Xavier, Lovis, Christian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
por: Naguib, Marco, et al.
Publicado: (2024)
por: Naguib, Marco, et al.
Publicado: (2024)
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection
por: Zaghir, Jamil, et al.
Publicado: (2023)
por: Zaghir, Jamil, et al.
Publicado: (2023)
A Benchmark Evaluation of Clinical Named Entity Recognition in French
por: Bannour, Nesrine, et al.
Publicado: (2024)
por: Bannour, Nesrine, et al.
Publicado: (2024)
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
por: Turbé, Hugues, et al.
Publicado: (2024)
por: Turbé, Hugues, et al.
Publicado: (2024)
Evaluation of post-hoc interpretability methods in time-series classification
por: Turbé, Hugues, et al.
Publicado: (2022)
por: Turbé, Hugues, et al.
Publicado: (2022)
Tell me why: Visual foundation models as self-explainable classifiers
por: Turbé, Hugues, et al.
Publicado: (2025)
por: Turbé, Hugues, et al.
Publicado: (2025)
Life Cycle-Aware Evaluation of Knowledge Distillation for Machine Translation: Environmental Impact and Translation Quality Trade-offs
por: Attieh, Joseph, et al.
Publicado: (2026)
por: Attieh, Joseph, et al.
Publicado: (2026)
FRACCO: A gold-standard annotated corpus of oncological entities with ICD-O-3.1 normalisation
por: Pignat, Johann, et al.
Publicado: (2025)
por: Pignat, Johann, et al.
Publicado: (2025)
PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
por: Tannier, Xavier, et al.
Publicado: (2026)
por: Tannier, Xavier, et al.
Publicado: (2026)
The Environmental Impacts of Machine Learning Training Keep Rising Evidencing Rebound Effect
por: Morand, Clément, et al.
Publicado: (2025)
por: Morand, Clément, et al.
Publicado: (2025)
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature
por: Zhou, Sijia, et al.
Publicado: (2024)
por: Zhou, Sijia, et al.
Publicado: (2024)
SynCABEL: Synthetic Contextualized Augmentation for Biomedical Entity Linking
por: Remaki, Adam, et al.
Publicado: (2026)
por: Remaki, Adam, et al.
Publicado: (2026)
How Green Can AI Be? A Study of Trends in Machine Learning Environmental Impacts
por: Morand, Clément, et al.
Publicado: (2024)
por: Morand, Clément, et al.
Publicado: (2024)
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content
por: Bednarczyk, Lydie, et al.
Publicado: (2026)
por: Bednarczyk, Lydie, et al.
Publicado: (2026)
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
por: Raithel, Lisa, et al.
Publicado: (2024)
por: Raithel, Lisa, et al.
Publicado: (2024)
Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
por: Yan, Xue, et al.
Publicado: (2023)
por: Yan, Xue, et al.
Publicado: (2023)
Advancing Mental Disorder Detection: A Comparative Evaluation of Transformer and LSTM Architectures on Social Media
por: Hasan, Khalid, et al.
Publicado: (2025)
por: Hasan, Khalid, et al.
Publicado: (2025)
TextGram: Towards a better domain-adaptive pretraining
por: Hiwarkhedkar, Sharayu, et al.
Publicado: (2024)
por: Hiwarkhedkar, Sharayu, et al.
Publicado: (2024)
Benchmarking large language models for biomedical natural language processing applications and recommendations
por: Chen, Qingyu, et al.
Publicado: (2023)
por: Chen, Qingyu, et al.
Publicado: (2023)
Beyond Architectures: Evaluating the Role of Contextual Embeddings in Detecting Bipolar Disorder on Social Media
por: Hasan, Khalid, et al.
Publicado: (2025)
por: Hasan, Khalid, et al.
Publicado: (2025)
A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
por: Hasan, Khalid, et al.
Publicado: (2026)
por: Hasan, Khalid, et al.
Publicado: (2026)
Semantic similarity prediction is better than other semantic similarity measures
por: Herbold, Steffen
Publicado: (2023)
por: Herbold, Steffen
Publicado: (2023)
Dynamic Embedded Topic Models: properties and recommendations based on diverse corpora
por: Fittschen, Elisabeth, et al.
Publicado: (2025)
por: Fittschen, Elisabeth, et al.
Publicado: (2025)
Prompt Exploration with Prompt Regression
por: Feffer, Michael, et al.
Publicado: (2024)
por: Feffer, Michael, et al.
Publicado: (2024)
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
por: Chen, Zhihong, et al.
Publicado: (2022)
por: Chen, Zhihong, et al.
Publicado: (2022)
LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking
por: Remaki, Adam, et al.
Publicado: (2026)
por: Remaki, Adam, et al.
Publicado: (2026)
The more polypersonal the better -- a short look on space geometry of fine-tuned layers
por: Kudriashov, Sergei, et al.
Publicado: (2025)
por: Kudriashov, Sergei, et al.
Publicado: (2025)
A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
por: Hasan, Khalid, et al.
Publicado: (2024)
por: Hasan, Khalid, et al.
Publicado: (2024)
Two is better than one: A Collapse-free Multi-Reward RLIF Training Framework
por: Joarder, Shourov, et al.
Publicado: (2026)
por: Joarder, Shourov, et al.
Publicado: (2026)
Textual Gradients are a Flawed Metaphor for Automatic Prompt Optimization
por: Melcer, Daniel, et al.
Publicado: (2025)
por: Melcer, Daniel, et al.
Publicado: (2025)
Is continuous CoT better suited for multi-lingual reasoning?
por: Bashir, Ali Hamza, et al.
Publicado: (2026)
por: Bashir, Ali Hamza, et al.
Publicado: (2026)
$p1$: Better Prompt Optimization with Fewer Prompts
por: Gao, Zhaolin, et al.
Publicado: (2026)
por: Gao, Zhaolin, et al.
Publicado: (2026)
Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
por: Hasan, Khalid, et al.
Publicado: (2025)
por: Hasan, Khalid, et al.
Publicado: (2025)
Prompt-to-Leaderboard
por: Frick, Evan, et al.
Publicado: (2025)
por: Frick, Evan, et al.
Publicado: (2025)
Clinical trial cohort selection using Large Language Models on n2c2 Challenges
por: Tai, Chi-en Amy, et al.
Publicado: (2025)
por: Tai, Chi-en Amy, et al.
Publicado: (2025)
Language models are better than humans at next-token prediction
por: Shlegeris, Buck, et al.
Publicado: (2022)
por: Shlegeris, Buck, et al.
Publicado: (2022)
Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient
por: Shi, Zeru, et al.
Publicado: (2024)
por: Shi, Zeru, et al.
Publicado: (2024)
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
por: Wu, Yuanchen, et al.
Publicado: (2025)
por: Wu, Yuanchen, et al.
Publicado: (2025)
Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows
por: Sebe, Clémence, et al.
Publicado: (2024)
por: Sebe, Clémence, et al.
Publicado: (2024)
Deep learning with noisy labels in medical prediction problems: a scoping review
por: Wei, Yishu, et al.
Publicado: (2024)
por: Wei, Yishu, et al.
Publicado: (2024)
Ejemplares similares
-
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting
por: Naguib, Marco, et al.
Publicado: (2024) -
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection
por: Zaghir, Jamil, et al.
Publicado: (2023) -
A Benchmark Evaluation of Clinical Named Entity Recognition in French
por: Bannour, Nesrine, et al.
Publicado: (2024) -
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications
por: Turbé, Hugues, et al.
Publicado: (2024) -
Evaluation of post-hoc interpretability methods in time-series classification
por: Turbé, Hugues, et al.
Publicado: (2022)