Automated Clinical Report Generation for Remote Cognitive Remediation: Comparing Knowledge-Engineered Templates and LLMs in Low-Resource Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Yongxin, Ringeval, Fabien, Portet, François |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization
by: Zhou, Yongxin, et al.
Published: (2023)
by: Zhou, Yongxin, et al.
Published: (2023)
Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
by: Zhou, Yongxin, et al.
Published: (2023)
by: Zhou, Yongxin, et al.
Published: (2023)
Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime
by: Abonizio, Hugo, et al.
Published: (2025)
by: Abonizio, Hugo, et al.
Published: (2025)
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
by: Ueda, Kentaro, et al.
Published: (2025)
by: Ueda, Kentaro, et al.
Published: (2025)
MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
by: Ha, Huy Hoang, et al.
Published: (2026)
by: Ha, Huy Hoang, et al.
Published: (2026)
GIRT-Model: Automated Generation of Issue Report Templates
by: Nikeghbal, Nafiseh, et al.
Published: (2024)
by: Nikeghbal, Nafiseh, et al.
Published: (2024)
Bridging the Knowledge-Action Gap by Evaluating LLMs in Dynamic Dental Clinical Scenarios
by: Ma, Hongyang, et al.
Published: (2026)
by: Ma, Hongyang, et al.
Published: (2026)
Automated Clinical Data Extraction with Knowledge Conditioned LLMs
by: Li, Diya, et al.
Published: (2024)
by: Li, Diya, et al.
Published: (2024)
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource Setting
by: Srinivasan, Krishna Prasad Varadarajan, et al.
Published: (2024)
by: Srinivasan, Krishna Prasad Varadarajan, et al.
Published: (2024)
Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models
by: Herron, Felix, et al.
Published: (2026)
by: Herron, Felix, et al.
Published: (2026)
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
by: Méloux, Maxime, et al.
Published: (2025)
by: Méloux, Maxime, et al.
Published: (2025)
Misalignment of LLM-Generated Personas with Human Perceptions in Low-Resource Settings
by: Prama, Tabia Tanzin, et al.
Published: (2025)
by: Prama, Tabia Tanzin, et al.
Published: (2025)
What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
by: Zhang, Xinhao, et al.
Published: (2026)
by: Zhang, Xinhao, et al.
Published: (2026)
IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates
by: Diallo, Aissatou, et al.
Published: (2025)
by: Diallo, Aissatou, et al.
Published: (2025)
Generating Reports or Repeating Templates? Measuring and Mitigating Template Collapse in 3D CT Report Generation
by: Maye-Lasserre, Tom, et al.
Published: (2026)
by: Maye-Lasserre, Tom, et al.
Published: (2026)
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
by: Xiong, Kai, et al.
Published: (2024)
by: Xiong, Kai, et al.
Published: (2024)
Scaling Low-Resource MT via Synthetic Data Generation with LLMs
by: de Gibert, Ona, et al.
Published: (2025)
by: de Gibert, Ona, et al.
Published: (2025)
Mixture of Experts for Low-Resource LLMs
by: Joseph, Ori Bar, et al.
Published: (2026)
by: Joseph, Ori Bar, et al.
Published: (2026)
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation
by: Meyer, Francois, et al.
Published: (2024)
by: Meyer, Francois, et al.
Published: (2024)
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
by: Gurgurov, Daniil, et al.
Published: (2024)
by: Gurgurov, Daniil, et al.
Published: (2024)
Clinical Cognition Alignment for Gastrointestinal Diagnosis with Multimodal LLMs
by: Zheng, Huan, et al.
Published: (2026)
by: Zheng, Huan, et al.
Published: (2026)
Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting
by: Zhou, Ej, et al.
Published: (2025)
by: Zhou, Ej, et al.
Published: (2025)
Knowledge-Centric Templatic Views of Documents
by: Cachola, Isabel, et al.
Published: (2024)
by: Cachola, Isabel, et al.
Published: (2024)
Responsible Benchmarking of Fairness for Automatic Speech Recognition
by: Herron, Felix, et al.
Published: (2026)
by: Herron, Felix, et al.
Published: (2026)
Where Do Self-Supervised Speech Models Become Unfair?
by: Herron, Felix, et al.
Published: (2026)
by: Herron, Felix, et al.
Published: (2026)
Exploring NLP Benchmarks in an Extremely Low-Resource Setting
by: Nuha, Ulin, et al.
Published: (2025)
by: Nuha, Ulin, et al.
Published: (2025)
Comparing Template-based and Template-free Language Model Probing
by: Shaier, Sagi, et al.
Published: (2024)
by: Shaier, Sagi, et al.
Published: (2024)
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings
by: Zhou, Wei, et al.
Published: (2024)
by: Zhou, Wei, et al.
Published: (2024)
GlotScript: A Resource and Tool for Low Resource Writing System Identification
by: Kargaran, Amir Hossein, et al.
Published: (2023)
by: Kargaran, Amir Hossein, et al.
Published: (2023)
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
by: Buscemi, Alessio, et al.
Published: (2025)
by: Buscemi, Alessio, et al.
Published: (2025)
Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
by: Hassan, Amna
Published: (2025)
by: Hassan, Amna
Published: (2025)
Automate Knowledge Concept Tagging on Math Questions with LLMs
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
by: Zhou, Yue, et al.
Published: (2024)
by: Zhou, Yue, et al.
Published: (2024)
Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMs
by: Zhou, Huichi, et al.
Published: (2025)
by: Zhou, Huichi, et al.
Published: (2025)
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
by: Méloux, Maxime, et al.
Published: (2025)
by: Méloux, Maxime, et al.
Published: (2025)
From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning
by: Kranti, Chalamalasetti, et al.
Published: (2025)
by: Kranti, Chalamalasetti, et al.
Published: (2025)
LLM-Based Data Generation and Clinical Skills Evaluation for Low-Resource French OSCEs
by: Huang, Tian, et al.
Published: (2026)
by: Huang, Tian, et al.
Published: (2026)
LLM Probe: Evaluating LLMs for Low-Resource Languages
by: Teklehaymanot, Hailay Kidu, et al.
Published: (2026)
by: Teklehaymanot, Hailay Kidu, et al.
Published: (2026)
LLMs for Extremely Low-Resource Finno-Ugric Languages
by: Purason, Taido, et al.
Published: (2024)
by: Purason, Taido, et al.
Published: (2024)
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
by: Chen, Jinwen, et al.
Published: (2025)
by: Chen, Jinwen, et al.
Published: (2025)
Similar Items
-
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization
by: Zhou, Yongxin, et al.
Published: (2023) -
Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
by: Zhou, Yongxin, et al.
Published: (2023) -
Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime
by: Abonizio, Hugo, et al.
Published: (2025) -
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
by: Ueda, Kentaro, et al.
Published: (2025) -
MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
by: Ha, Huy Hoang, et al.
Published: (2026)