Sean Xie — accepted AI-conference papers

2024

Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models

Sean Xie, Saeed Hassanpour, Soroush Vosoughi

NAACL 2024findings

Recent studies have highlighted the issue of Pretrained Language Models (PLMs) inadvertently propagating social stigmas and stereotypes, a critical concern given their widespread use. This is particularly problematic in sensitive areas like healthcare, where such biases could lead to detrimental out…

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2023

Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models

Sean Xie, Soroush Vosoughi, Saeed Hassanpour

EMNLP 2023long findings

Large Language Models (LLMs) have significantly advanced the field of Natural Language Processing (NLP), but their lack of interpretability has been a major concern. Current methods for interpreting LLMs are post hoc, applied after inference time, and have limitations such as their focus on low-leve…

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