123 citations · 163 across the 9 of their papers we have counts for
3 papers · 1 filter
HyperINF: Unleashing the HyperPower of the Schulz's Method for Data Influence Estimation
Xinyu Zhou, Simin Fan, Martin Jaggi
Influence functions provide a principled method to assess the contribution of individual training samples to a specific target. Yet, their high computational costs limit their appl…
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants
Beatriz Borges, Negar Foroutan, Deniz Bayazit +87
AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they a…
Deep Grokking: Would Deep Neural Networks Generalize Better?
Simin Fan, Razvan Pascanu, Martin Jaggi
Recent research on the grokking phenomenon has illuminated the intricacies of neural networks' training dynamics and their generalization behaviors. Grokking refers to a sharp rise…