A framework for human evaluation of large language models in healthcare derived from literature review
TYC Tam, S Sivarajkumar, S Kapoor, AV Stolyar… - NPJ Digital …, 2024 - nature.com
With generative artificial intelligence (GenAI), particularly large language models (LLMs),
continuing to make inroads in healthcare, assessing LLMs with human evaluations is …
continuing to make inroads in healthcare, assessing LLMs with human evaluations is …
Graph Artificial Intelligence in Medicine
In clinical artificial intelligence (AI), graph representation learning, mainly through graph
neural networks and graph transformer architectures, stands out for its capability to capture …
neural networks and graph transformer architectures, stands out for its capability to capture …
Graph ai in medicine
In clinical artificial intelligence (AI), graph representation learning, mainly through graph
neural networks (GNNs), stands out for its capability to capture intricate relationships within …
neural networks (GNNs), stands out for its capability to capture intricate relationships within …
Hierarchical graph contrastive learning of local and global presentation for multimodal sentiment analysis
J Du, J Jin, J Zhuang, C Zhang - Scientific Reports, 2024 - nature.com
Multi-modal sentiment analysis (MSA) aims to regress or classify the overall sentiment of
utterances through acoustic, visual, and textual cues. However, most of the existing efforts …
utterances through acoustic, visual, and textual cues. However, most of the existing efforts …
Easy and effective! Data augmentation for knowledge-aware dialogue generation via multi-perspective sentences interaction
S Peng, D Qu, W Zhang, H Zhang, S Li, M Xu - Neurocomputing, 2025 - Elsevier
In recent years, knowledge-based dialogue generation has garnered significant attention
due to its capacity to produce informative and coherent responses through the integration of …
due to its capacity to produce informative and coherent responses through the integration of …
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
Chatbots have become popular in educational settings, revolutionizing how students interact
with material and how teachers teach. We present Curriculum-Driven EduBot, a framework …
with material and how teachers teach. We present Curriculum-Driven EduBot, a framework …
[HTML][HTML] Comprehensiveness of large language models in patient queries on gingival and endodontic health
Q Zhang, Z Wu, J Song, S Luo, Z Chai - International Dental Journal, 2024 - Elsevier
Aim Given the increasing interest in using large language models (LLMs) for self-diagnosis,
this study aimed to evaluate the comprehensiveness of two prominent LLMs, ChatGPT-3.5 …
this study aimed to evaluate the comprehensiveness of two prominent LLMs, ChatGPT-3.5 …
[HTML][HTML] Task-Specific Transformer-Based Language Models in Health Care: Scoping Review
Background Transformer-based language models have shown great potential to
revolutionize health care by advancing clinical decision support, patient interaction, and …
revolutionize health care by advancing clinical decision support, patient interaction, and …
Plugmed: Improving specificity in patient-centered medical dialogue generation using in-context learning
The patient-centered medical dialogue systems strive to offer diagnostic interpretation
services to users who are less knowledgeable about medical knowledge, through …
services to users who are less knowledgeable about medical knowledge, through …
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare
TYC Tam, S Sivarajkumar, S Kapoor, AV Stolyar… - arXiv preprint arXiv …, 2024 - arxiv.org
As generative artificial intelligence (AI), particularly Large Language Models (LLMs),
continues to permeate healthcare, it remains crucial to supplement traditional automated …
continues to permeate healthcare, it remains crucial to supplement traditional automated …