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pro vyhledávání: '"Lucchetti, Francesca"'
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 case? This paper explores two competing hypotheses about the cause of s
Externí odkaz:
http://arxiv.org/abs/2410.19792
Autor:
Fiotto-Kaufman, Jaden, Loftus, Alexander R., Todd, Eric, Brinkmann, Jannik, Pal, Koyena, Troitskii, Dmitrii, Ripa, Michael, Belfki, Adam, Rager, Can, Juang, Caden, Mueller, Aaron, Marks, Samuel, Sharma, Arnab Sen, Lucchetti, Francesca, Prakash, Nikhil, Brodley, Carla, Guha, Arjun, Bell, Jonathan, Wallace, Byron C., Bau, David
We introduce NNsight and NDIF, technologies that work in tandem to enable scientific study of very large neural networks. NNsight is an open-source system that extends PyTorch to introduce deferred remote execution. NDIF is a scalable inference servi
Externí odkaz:
http://arxiv.org/abs/2407.14561
Autor:
Lucchetti, Francesca, Guha, Arjun
CodeLLMs are transforming software development as we know it. This is especially true for tasks where rule-based approaches fall short, like type prediction. The type prediction task consists in adding a new type annotation to a partially typed progr
Externí odkaz:
http://arxiv.org/abs/2404.01903
Autor:
Hu, Zichao, Lucchetti, Francesca, Schlesinger, Claire, Saxena, Yash, Freeman, Anders, Modak, Sadanand, Guha, Arjun, Biswas, Joydeep
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2853-2860, March 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
Externí odkaz:
http://arxiv.org/abs/2311.11183
Autor:
Cassano, Federico, Gouwar, John, Lucchetti, Francesca, Schlesinger, Claire, Freeman, Anders, Anderson, Carolyn Jane, Feldman, Molly Q, Greenberg, Michael, Jangda, Abhinav, Guha, Arjun
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 for research in programming languages and software engineering. Howev
Externí odkaz:
http://arxiv.org/abs/2308.09895
Akademický článek
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Publikováno v:
L'industria. (1):3-28
During the Great recession, the foreign demand was a key factor for the Italian manufacturing firm to compete successfully. New Istat databases on make it possible to pinpoint both the firms' potential and obstacles, either exogenous or endogenous to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::1ec207437ab46a888a77ac44dd66f187
https://www.rivisteweb.it/download/article/10.1430/77261
https://www.rivisteweb.it/download/article/10.1430/77261
