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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 1SourcePDFScholar
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…