Semantic Similarity Loss for Neural Source Code Summarization

14 August 2023

Papers citing "Semantic Similarity Loss for Neural Source Code Summarization"

7 / 7 papers shown

Title
AI-Mediated Code Comment Improvement Maria Dhakal Chia-Yi Su Robert Wallace Chris Fakhimi Aakash Bansal Toby Jia-Jun Li Yu Huang Collin McMillan SyDa 7 0 0 13 May 2025
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks Kang Yang Xinjun Mao Shangwen Wang Y. Wang Tanghaoran Zhang Bo Lin Yihao Qin Zhang Zhang Yao Lu Kamal Al-Sabahi ALM 87 1 0 28 Apr 2025
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets Hamed Jelodar Mohammad Meymani Roozbeh Razavi-Far 40 0 0 21 Mar 2025
Few-shot training LLMs for project-specific code-summarization Toufique Ahmed Prem Devanbu 179 213 0 09 Jul 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 202 628 0 26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 210 1,485 0 02 Sep 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016