Papers by Wai Chung Kwan

2 papers
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation (2023.acl-long)

Copied to clipboard

Challenge: Automated diagnosis (AD) is a critical application of AI in healthcare . despite its simplicity and superior performance, a decline in disease diagnosis accuracy is observed .
Approach: They propose a new collaborative disease and symptom generation framework to improve automatic diagnosis.
Outcome: The Transformer-based method achieves an average 2.3% improvement over previous state-of-the-art methods . it can be used to query patients about their symptoms and health concerns .
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization (2023.findings-acl)

Copied to clipboard

Challenge: Recent studies have focused on developing persona consistent dialogue models . order sensitivity affects the quality and consistency of generated response .
Approach: They propose a model-agnostic framework to improve persona consistent dialogue response generation by concatenating persona texts and dialogue history as a single input sequence.
Outcome: The proposed framework outperforms existing models on the Persona-Chat dataset and shows that it is more robust under different persona orders and more consistent with the persona profile.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations