CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

31 May 2023

Papers citing "CodeTF: One-stop Transformer Library for State-of-the-art Code LLM"

8 / 8 papers shown

Title
AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities Elaheh Jafarigol Behnoud Alaghband Azadeh Gilanpour Saeid Hosseinipoor Mirhamed Mirmozafari 67 1 0 07 Feb 2025
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool Chia-Tung Ho Haoxing Ren Brucek Khailany 49 14 0 15 Aug 2024
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese Guosheng Lin SyDa ALM 132 240 0 05 Jul 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 204 631 0 26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Chenyu You Guosheng Lin 241 1,489 0 02 Sep 2021
Measuring Coding Challenge Competence With APPS Dan Hendrycks Steven Basart Saurav Kadavath Mantas Mazeika Akul Arora ... Collin Burns Samir Puranik Horace He D. Song Jacob Steinhardt ELM AIMat ALM 208 624 0 20 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 201 853 0 09 Feb 2021