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Matthew Lee

2 accepted papers

2026

Interpreting Genomic Language Models using Sparse Autoencoders

ICML 2026poster

Genomic language models (gLMs) achieve strong performance across diverse genomic prediction tasks, but their internal biological representations remain poorly understood. Sparse autoencoders (SAEs) have emerged as an interpretability tool in vision and natural language models, yet their applicabilit…

Cited by 0SourceScholar
2020

Universal Phone Recognition with a Multilingual Allophone System

ICASSP 2020accepted

Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages. Multilingual acoustic models, however, generally ignore the difference between phonemes (sounds that can support lexical contrasts in a particular language) and thei…

Cited by 0SourceScholar