Cover Image

Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rahmanian, Mojdeh, Fakhrahmad, Seyed Mostafa, Mousavi, Seyedeh Zahra
Format:	Preprint
Published:	2024
Subjects:	Computation and Language I.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?
by: Collado-Montañez, Jaime, et al.
Published: (2025)

Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models
by: Tian, Changxin, et al.
Published: (2025)

Towards Conditioning Clinical Text Generation for User Control
by: Koraş, Osman Alperen, et al.
Published: (2025)

A Review of the Applications of Deep Learning-Based Emergent Communication
by: Boldt, Brendon, et al.
Published: (2024)

Prompt Compression in Production Task Orchestration: A Pre-Registered Randomized Trial
by: Johnson, Warren, et al.
Published: (2026)

Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models
by: Ghinassi, Iacopo, et al.
Published: (2024)

Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models
by: Stewart, Ian, et al.
Published: (2024)

FedDPG: An Adaptive Yet Efficient Prompt-tuning Approach in Federated Learning Settings
by: Shakeri, Ali, et al.
Published: (2025)

Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)

Distilling Large Language Models for Efficient Clinical Information Extraction
by: Vedula, Karthik S., et al.
Published: (2024)

D-COT: Disciplined Chain-of-Thought Learning for Efficient Reasoning in Small Language Models
by: Ubukata, Shunsuke
Published: (2026)

EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System
by: Chaybouti, Sofian, et al.
Published: (2021)

Towards Resource-Efficient Multimodal Intelligence: Learned Routing among Specialized Expert Models
by: Saini, Mayank, et al.
Published: (2025)

Towards Human Understanding of Paraphrase Types in Large Language Models
by: Meier, Dominik, et al.
Published: (2024)

RUQuant: Towards Refining Uniform Quantization for Large Language Models
by: Liu, Han, et al.
Published: (2026)

High-Throughput Phenotyping of Clinical Text Using Large Language Models
by: Hier, Daniel B., et al.
Published: (2024)

Towards Effective and Efficient Continual Pre-training of Large Language Models
by: Chen, Jie, et al.
Published: (2024)

KyrgyzBERT: A Compact, Efficient Language Model for Kyrgyz NLP
by: Metinov, Adilet, et al.
Published: (2025)

ConPET: Continual Parameter-Efficient Tuning for Large Language Models
by: Song, Chenyang, et al.
Published: (2023)

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History
by: Li, Lingxi, et al.
Published: (2024)

Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
by: Schopf, Tim, et al.
Published: (2024)

PLM: Efficient Peripheral Language Models Hardware-Co-Designed for Ubiquitous Computing
by: Deng, Cheng, et al.
Published: (2025)

Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
by: Lasbordes, Maxence, et al.
Published: (2025)

LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
by: Hu, Yuxuan, et al.
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

Effective and Efficient Schema-aware Information Extraction Using On-Device Large Language Models
by: Wen, Zhihao, et al.
Published: (2025)

SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
by: Smădu, Răzvan-Alexandru, et al.
Published: (2025)

Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models
by: Saukkoriipi, Mikko, et al.
Published: (2026)

TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
by: Shabalin, Alexander, et al.
Published: (2024)

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
by: Han, Xudong, et al.
Published: (2025)

Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models
by: Hossain, Ariyan, et al.
Published: (2025)

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
by: Kim, Songsoo, et al.
Published: (2025)

Towards Massive Multilingual Holistic Bias
by: Tan, Xiaoqing Ellen, et al.
Published: (2024)

A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models
by: Peláez-González, Carlos, et al.
Published: (2025)

Graphemic Normalization of the Perso-Arabic Script
by: Doctor, Raiomond, et al.
Published: (2022)

Beyond Arabic: Software for Perso-Arabic Script Manipulation
by: Gutkin, Alexander, et al.
Published: (2023)

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
by: Bian, Zhipeng, et al.
Published: (2026)

Prompt-Time Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)

A RoBERTa-Based Functional Syntax Annotation Model for Chinese Texts
by: Xiaohui, Han, et al.
Published: (2025)

Word Importance Explains How Prompts Affect Language Model Outputs
by: Hackmann, Stefan, et al.
Published: (2024)