36 citations · 46 across the 6 of their papers we have counts for
6 papers
ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models
Zixuan Wu, Francesca Lucchetti, Aleksander Boruch-Gruszecki +5
Existing benchmarks for frontier models often test specialized, "PhD-level" knowledge that is difficult for non-experts to grasp. In contrast, we present a benchmark with 613 probl…
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…
Deploying and Evaluating LLMs to Program Service Mobile Robots
Zichao Hu, Francesca Lucchetti, Claire Schlesinger +5
Recent advancements in large language models (LLMs) have spurred interest in using them for generating robot programs from natural language, with promising initial results. We inve…
Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
Federico Cassano, John Gouwar, Francesca Lucchetti +7
Over the past few years, Large Language Models of Code (Code LLMs) have started to have a significant impact on programming practice. Code LLMs are also emerging as building blocks…