← Search

David Wu

2 accepted papers

2024

Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning

EMNLP 2024main

Medical coding, the translation of unstructured clinical text into standardized medical codes, is a crucial but time-consuming healthcare practice. Though large language models (LLM) could automate the coding process and improve the efficiency of such tasks, interpretability remains paramount for ma…

Cited by 1Source ↗PDF ↗Scholar ↗
2023

Inverse Reinforcement Learning without Reinforcement Learning

ICML 2023poster

Inverse Reinforcement Learning (IRL) is a powerful set of techniques for imitation learning that aims to learn a reward function that rationalizes expert demonstrations. Unfortunately, traditional IRL methods suffer from a computational weakness: they require repeatedly solving a hard reinforcement…