MIT Mathematics

@mitmath.bsky.social

The Department of Mathematics at MIT is a world leader in pure and applied mathematical research and education.

A team from MIT and UCSD including Assistant Professor Adityanarayanan "Adit" Radhakrishnan have devised a way to test whether LLMs hold hidden biases, moods, and abstract concepts, marking a major step towards creating models which are safe yet effective. news.mit.edu/2026/exposin... (MIT News)

Exposing biases, moods, personalities, and abstract concepts hidden in large language models

A new method can test whether a large language model contains hidden biases, personalities, moods, or other abstract concepts. MIT researchers can zero in on connections within a model that encode for...

news.mit.edu

By using a sparse autoencoder, Prof Berger and @bergerlab.bsky.social students uncover how protein language models make predictions."Identifying features that protein language models track has the potential to reveal novel biological insights from these representations." @mitscience.bsky.social

Researchers glimpse the inner workings of protein language models

MIT researchers used sparse autoencoders to shed light on the inner workings of protein language models, an advance that could streamline the process of identifying new drugs or vaccine targets.

news.mit.edu