Abstract: Large Language Models (LLMs) are increasingly used by software engineers for code generation. However, limitations of LLMs such as irrelevant or incorrect code have highlighted the need for ...

We introduce the Berkeley Function Leaderboard (BFCL), the first comprehensive and executable function call evaluation dedicated to assessing Large Language Models' (LLMs) ability to invoke functions.

Abstract: This study explored methods to improve the success rate of reward function generation, a crucial task in robotic reinforcement learning, by applying In-Context Learning (ICL) and ...

Cybersecurity researchers are calling attention to a new campaign dubbed JS#SMUGGLER that has been observed leveraging compromised websites as a distribution vector for a remote access trojan named ...