36 citations · 46 across the 6 of their papers we have counts for
3 papers · 1 filter
Substance Beats Style: Why Beginning Students Fail to Code with LLMs
Francesca Lucchetti, Zixuan Wu, Arjun Guha +2
Although LLMs are increasing the productivity of professional programmers, existing work shows that beginners struggle to prompt LLMs to solve text-to-code tasks. Why is this the c…
NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd +17
We introduce NNsight and NDIF, technologies that work in tandem to enable scientific study of the representations and computations learned by very large neural networks. NNsight is…
Understanding How CodeLLMs (Mis)Predict Types with Activation Steering
Francesca Lucchetti, Arjun Guha
Large Language Models (LLMs) are widely used by software engineers for programming tasks. However, research shows that LLMs often lack a deep understanding of program semantics. Ev…