Our work on large language models and network management has received the IRTF/IETF Applied Networking Research Prize. Congratulations to Changjie Wang, our doctoral student funded by Vinnova who has led the work. Read more about the award on this KTH News article.
Our work on leveraging LLMs for 1) generating verifiable code, 2) discovering software vulnerabilities, and 3) reducing the size of code-generation transformer-based models have been accepted for publication at the LLM4Code workshop! From Scientific Texts to Verifiable Code: Automating the Process with Transformers In the International Workshop on Large Language Models for Code (LLM4Code), published … Continue reading “Three papers accepted at LLM4Code!”
