Edward Yi Chang

Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Online symptom checkers have been deployed by sites such as WebMD and Mayo Clinic to identify possible causes and treatments for diseases based on a patient’s symptoms. Symptom checking first assesses a patient by asking …

SocraSynth: Multi-LLM Reasoning with Conditional Statistics

2024 · arXiv (Cornell University)

Large language models (LLMs), while promising, face criticisms for biases, hallucinations, and a lack of reasoning capability. This paper introduces SocraSynth, a multi-LLM agent reasoning platform developed to mitigate these issues. SocraSynth utilizes conditional statistics …

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks

2018

With the revival of neural networks, many studies try to adapt powerful sequential neural models, ıe Recurrent Neural Networks (RNN), to sequential recommendation. RNN-based networks encode historical interaction records into a hidden state vector. Although …