no code implementations • 22 Feb 2024 • Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Furthermore, alignment between model and human foci in this setting does not seem to dictate the quality of the LLM-generated summaries.
1 code implementation • 21 Feb 2024 • Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets.
no code implementations • NAACL (DLG4NLP) 2022 • Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang
Hence, we propose Continuous Temporal Graph Networks (CTGNs) to capture the continuous dynamics of temporal graph data.