LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss

9 March 2024

Papers citing "LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss"

5 / 5 papers shown

Title
Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning Thanh Le-Cong Duc M. Luong X. Le David Lo Nhat-Hoa Tran Bui Quang-Huy Quyet-Thang Huynh 32 24 0 03 Jan 2023
AutoPruner: Transformer-Based Call Graph Pruning Thanh Le-Cong Hong Jin Kang Truong-Giang Nguyen S. A. Haryono David Lo X. Le H. Thang 25 19 0 07 Sep 2022
Few-shot training LLMs for project-specific code-summarization Toufique Ahmed Prem Devanbu 179 213 0 09 Jul 2022
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution Yi Huang Buse Giledereli Abdullatif Köksal Arzucan Özgür Elif Özkirimli VLM 31 76 0 10 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 0 02 Sep 2021