Francesca Lucchetti — accepted AI-conference papers

2025

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii +14

ICLR 2025poster

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 an open-source system that extends PyTorch to introduce deferred remote execution. The National Deep Inference Fabric (…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2025

Substance Beats Style: Why Beginning Students Fail to Code with LLMs

Francesca Lucchetti, Zixuan Wu, Arjun Guha, Molly Q Feldman, Carolyn Jane Anderson

NAACL 2025long

Although LLMs are increasing the productivity of professional programmers, existing work shows that beginners struggle to prompt LLMs to solve text-to-code tasks (Nguyen et al., 2024; Prather et al., 2024b; Mordechai et al., 2024). Why is this the case? This paper explores two competing hypotheses a…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2024

Deploying and Evaluating LLMs to Program Service Mobile Robots

Zichao Hu, Francesca Lucchetti, Claire Schlesinger, Yash Saxena, Anders Freeman, Sadanand Modak +2

RA-L 2024

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 investigate the use of LLMs to generate programs for service mobile robots leveraging mobility, perception, and human intera

Cited by 60 Source ↗code ↗Scholar ↗