YouTube video by MCML_Munich Center for Machine Learning

There is an increasing trend towards evaluating NLP models with LLMs instead of human judgments, raising questions about the validity of these evaluations, as well as their reproducibility in the case...

A fundamental question in interpretability research is to what extent neural networks, particularly language models, implement reusable functions through subnetworks that can be composed to perform mo...

Prompt engineering for large language models is challenging, as even small prompt perturbations or model changes can significantly impact the generated output texts. Existing evaluation methods, eithe...

The Trump administration is cutting funding, while specifically targeting institutions like Columbia. No wonder academics want out, says Guardian Europe columnist Alexander Hurst