Principles from Clinical Research for NLP Model Generalization
Fuente:
arXiv
Saved in:
| Main Authors: | Elangovan, Aparna, He, Jiayuan, Li, Yuan, Verspoor, Karin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts
by: Nguyen, Minh-Vuong, et al.
Published: (2026)
by: Nguyen, Minh-Vuong, et al.
Published: (2026)
EMBRE: Entity-aware Masking for Biomedical Relation Extraction
by: Li, Mingjie, et al.
Published: (2024)
by: Li, Mingjie, et al.
Published: (2024)
RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
by: Han, Wei, et al.
Published: (2026)
by: Han, Wei, et al.
Published: (2026)
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
by: Elangovan, Aparna, et al.
Published: (2024)
by: Elangovan, Aparna, et al.
Published: (2024)
Learning Robust Negation Text Representations
by: Truong, Thinh Hung, et al.
Published: (2025)
by: Truong, Thinh Hung, et al.
Published: (2025)
Revisiting subword tokenization: A case study on affixal negation in large language models
by: Truong, Thinh Hung, et al.
Published: (2024)
by: Truong, Thinh Hung, et al.
Published: (2024)
Adaptive Multi-Agent Response Refinement in Conversational Systems
by: Jeong, Soyeong, et al.
Published: (2025)
by: Jeong, Soyeong, et al.
Published: (2025)
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data
by: Chen, Shan, et al.
Published: (2024)
by: Chen, Shan, et al.
Published: (2024)
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
by: Xu, Lei, et al.
Published: (2024)
by: Xu, Lei, et al.
Published: (2024)
Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling
by: Xu, Jingyu, et al.
Published: (2024)
by: Xu, Jingyu, et al.
Published: (2024)
Disambiguating Complexity: From CAF to CAFIC: A Commentary on “Complexity and Difficulty in Second Language Acquisition: A Theoretical and Methodological Overview”
by: Marjolijn Verspoor
Published: (2024)
by: Marjolijn Verspoor
Published: (2024)
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs
by: Antoniak, Maria, et al.
Published: (2023)
by: Antoniak, Maria, et al.
Published: (2023)
Understanding "Democratization" in NLP and ML Research
by: Subramonian, Arjun, et al.
Published: (2024)
by: Subramonian, Arjun, et al.
Published: (2024)
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding
by: Zhu, Lixing, et al.
Published: (2023)
by: Zhu, Lixing, et al.
Published: (2023)
A Framework for Transparent Reporting of Data Quality Analysis Across the Clinical Electronic Health Record Data Lifecycle
by: Wassell, Melinda, et al.
Published: (2026)
by: Wassell, Melinda, et al.
Published: (2026)
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
by: Gao, Fan, et al.
Published: (2023)
by: Gao, Fan, et al.
Published: (2023)
Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research
by: Petersen, Molly R, et al.
Published: (2025)
by: Petersen, Molly R, et al.
Published: (2025)
Clinical NLP with Attention-Based Deep Learning for Multi-Disease Prediction
by: Xu, Ting, et al.
Published: (2025)
by: Xu, Ting, et al.
Published: (2025)
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
by: Du, Jiangshu, et al.
Published: (2024)
by: Du, Jiangshu, et al.
Published: (2024)
NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)
by: Li, Yuangang, et al.
Published: (2024)
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond
by: Huang, Chen, et al.
Published: (2025)
by: Huang, Chen, et al.
Published: (2025)
CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations
by: Fong, Stephanie, et al.
Published: (2026)
by: Fong, Stephanie, et al.
Published: (2026)
TurkicNLP: An NLP Toolkit for Turkic Languages
by: Hakimov, Sherzod
Published: (2026)
by: Hakimov, Sherzod
Published: (2026)
The Nature of NLP: Analyzing Contributions in NLP Papers
by: Pramanick, Aniket, et al.
Published: (2024)
by: Pramanick, Aniket, et al.
Published: (2024)
DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
by: Barone, Mariano, et al.
Published: (2025)
by: Barone, Mariano, et al.
Published: (2025)
TCM-5CEval: Extended Deep Evaluation Benchmark for LLM's Comprehensive Clinical Research Competence in Traditional Chinese Medicine
by: Huang, Tianai, et al.
Published: (2025)
by: Huang, Tianai, et al.
Published: (2025)
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
by: Gema, Aryo Pradipta, et al.
Published: (2024)
by: Gema, Aryo Pradipta, et al.
Published: (2024)
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
by: Altinok, Duygu
Published: (2024)
by: Altinok, Duygu
Published: (2024)
Enhancing Steganographic Text Extraction: Evaluating the Impact of NLP Models on Accuracy and Semantic Coherence
by: Li, Mingyang, et al.
Published: (2024)
by: Li, Mingyang, et al.
Published: (2024)
A Survey on Out-of-Distribution Evaluation of Neural NLP Models
by: Li, Xinzhe, et al.
Published: (2023)
by: Li, Xinzhe, et al.
Published: (2023)
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
by: Mosbach, Marius, et al.
Published: (2024)
by: Mosbach, Marius, et al.
Published: (2024)
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
by: Ramu, Pritika, et al.
Published: (2024)
by: Ramu, Pritika, et al.
Published: (2024)
Speaking of Language: Reflections on Metalanguage Research in NLP
by: Schneider, Nathan, et al.
Published: (2026)
by: Schneider, Nathan, et al.
Published: (2026)
Modeling Contextual Passage Utility for Multihop Question Answering
by: Jain, Akriti, et al.
Published: (2025)
by: Jain, Akriti, et al.
Published: (2025)
Measuring the Robustness of NLP Models to Domain Shifts
by: Calderon, Nitay, et al.
Published: (2023)
by: Calderon, Nitay, et al.
Published: (2023)
Langformers: Unified NLP Pipelines for Language Models
by: Lamsal, Rabindra, et al.
Published: (2025)
by: Lamsal, Rabindra, et al.
Published: (2025)
Latent Concept-based Explanation of NLP Models
by: Yu, Xuemin, et al.
Published: (2024)
by: Yu, Xuemin, et al.
Published: (2024)
Discovering Salient Neurons in Deep NLP Models
by: Durrani, Nadir, et al.
Published: (2022)
by: Durrani, Nadir, et al.
Published: (2022)
Active Learning for NLP with Large Language Models
by: Wang, Xuesong
Published: (2024)
by: Wang, Xuesong
Published: (2024)
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
by: Ranathunga, Surangika, et al.
Published: (2024)
by: Ranathunga, Surangika, et al.
Published: (2024)
Similar Items
-
How Robust Are Large Language Models for Clinical Numeracy? An Empirical Study on Numerical Reasoning Abilities in Clinical Contexts
by: Nguyen, Minh-Vuong, et al.
Published: (2026) -
EMBRE: Entity-aware Masking for Biomedical Relation Extraction
by: Li, Mingjie, et al.
Published: (2024) -
RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
by: Han, Wei, et al.
Published: (2026) -
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
by: Elangovan, Aparna, et al.
Published: (2024) -
Learning Robust Negation Text Representations
by: Truong, Thinh Hung, et al.
Published: (2025)