Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dainese, Nicola"'
Autor:
Koutcheme, Charles, Dainese, Nicola, Hellas, Arto, Sarsa, Sami, Leinonen, Juho, Ashraf, Syed, Denny, Paul
The emergence of large language models (LLMs) has transformed research and practice across a wide range of domains. Within the computing education research (CER) domain, LLMs have garnered significant attention, particularly in the context of learnin
Externí odkaz:
http://arxiv.org/abs/2407.04873
In this work we consider Code World Models, world models generated by a Large Language Model (LLM) in the form of Python code for model-based Reinforcement Learning (RL). Calling code instead of LLMs for planning has potential to be more precise, rel
Externí odkaz:
http://arxiv.org/abs/2405.15383
The emergence of large language models (LLMs) has sparked enormous interest due to their potential application across a range of educational tasks. For example, recent work in programming education has used LLMs to generate learning resources, improv
Externí odkaz:
http://arxiv.org/abs/2405.05347
Large language models (LLMs) have shown great potential for the automatic generation of feedback in a wide range of computing contexts. However, concerns have been voiced around the privacy and ethical implications of sending student work to propriet
Externí odkaz:
http://arxiv.org/abs/2405.05253
Publikováno v:
ACL Student Research Workshop 2024
State of the art Symbolic Regression (SR) methods currently build specialized models, while the application of Large Language Models (LLMs) remains largely unexplored. In this work, we introduce the first comprehensive framework that utilizes LLMs fo
Externí odkaz:
http://arxiv.org/abs/2404.19094