2 citations · 4 across the 5 of their papers we have counts for
5 papers
S-Chain: Structured Visual Chain-of-Thought For Medicine
Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh +21
Faithful reasoning in medical vision-language models (VLMs) requires not only accurate predictions but also transparent alignment between textual rationales and visual evidence. Wh…
Vision Language Models are Biased
An Vo, Khai-Nguyen Nguyen, Mohammad Reza Taesiri +3
Large language models (LLMs) memorize a vast amount of prior knowledge from the Internet that helps them on downstream tasks but also may notoriously sway their outputs towards wro…
Sentiment Reasoning for Healthcare
Khai-Nguyen Nguyen, Khai Le-Duc, Bach Phan Tat +3
Transparency in AI healthcare decision-making is crucial. By incorporating rationales to explain reason for each predicted label, users could understand Large Language Models (LLMs…
Real-time Speech Summarization for Medical Conversations
Khai Le-Duc, Khai-Nguyen Nguyen, Long Vo-Dang +1
In doctor-patient conversations, identifying medically relevant information is crucial, posing the need for conversation summarization. In this work, we propose the first deployabl…
Medical Spoken Named Entity Recognition
Khai Le-Duc, David Thulke, Hung-Phong Tran +4
Spoken Named Entity Recognition (NER) aims to extract named entities from speech and categorise them into types like person, location, organization, etc. In this work, we present V…