AE-GPT: using large language models to extract adverse events from surveillance reports-a use case with influenza vaccine adverse events
Though Vaccines are instrumental in global health, mitigating infectious diseases and
pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large …
pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large …
Process knowledge-infused learning for clinician-friendly explanations
Abstract Language models have the potential to assess mental health using social media
data. By analyzing online posts and conversations, these models can detect patterns …
data. By analyzing online posts and conversations, these models can detect patterns …
Knowledge-infused self attention transformers
Transformer-based language models have achieved impressive success in various natural
language processing tasks due to their ability to capture complex dependencies and …
language processing tasks due to their ability to capture complex dependencies and …
IERL: Interpretable Ensemble Representation Learning--Combining CrowdSourced Knowledge and Distributed Semantic Representations
Large Language Models (LLMs) encode meanings of words in the form of distributed
semantics. Distributed semantics capture common statistical patterns among language …
semantics. Distributed semantics capture common statistical patterns among language …
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding
Natural language understanding (NLU) using neural network pipelines often requires
additional context that is not solely present in the input data. Through Prior research, it has …
additional context that is not solely present in the input data. Through Prior research, it has …
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱
Fine-tuning pre-trained foundational language models (FLM) for specific tasks is often
impractical, especially for resource-constrained devices. This necessitates the development …
impractical, especially for resource-constrained devices. This necessitates the development …
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
Personalizing conversational agents can enhance the quality of conversations and increase
user engagement. However, they often lack external knowledge to appropriately tend to a …
user engagement. However, they often lack external knowledge to appropriately tend to a …
Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge
Despite their extensive application in language understanding tasks, large language models
(LLMs) still encounter challenges including hallucinations-occasional fabrication of …
(LLMs) still encounter challenges including hallucinations-occasional fabrication of …
Tutorial: Knowledge-infused Artificial Intelligence for Mental Healthcare
K Roy - 2024 - scholarcommons.sc.edu
Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing
after realizing the importance of early interventions for patients with chronic mental health …
after realizing the importance of early interventions for patients with chronic mental health …
Tutorial-Shodhguru Labs: Knowledge-infused Artificial Intelligence for Mental Healthcare
K Roy - 2023 - scholarcommons.sc.edu
Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing
after realizing the importance of early interventions for patients with chronic mental health …
after realizing the importance of early interventions for patients with chronic mental health …