Francesca Lucchetti

According to our database, Francesca Lucchetti authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models.

Carolyn Jane Anderson, Joydeep Biswas, Aleksander Boruch-Gruszecki, Federico Cassano, Molly Q. Feldman, Arjun Guha, Francesca Lucchetti, Zixuan Wu

CoRR, February, 2025

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

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Deploying and Evaluating LLMs to Program Service Mobile Robots.

Zichao Hu, Francesca Lucchetti, Claire Schlesinger, Yash Saxena, Anders Freeman, Sadanand Modak, Arjun Guha, Joydeep Biswas

IEEE Robotics Autom. Lett., 2024

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.

Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Anders Freeman, Carolyn Jane Anderson, Molly Q. Feldman, Michael Greenberg, Abhinav Jangda, Arjun Guha

Proc. ACM Program. Lang., 2024

NNsight and NDIF: Democratizing Access to Foundation Model Internals.

Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau

CoRR, 2024

Activation Steering for Robust Type Prediction in CodeLLMs.

Francesca Lucchetti, Arjun Guha

CoRR, 2024

2023

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs.

Federico Cassano, John Gouwar, Francesca Lucchetti, Claire Schlesinger, Carolyn Jane Anderson, Michael Greenberg, Abhinav Jangda, Arjun Guha

CoRR, 2023