Starcoder: may the source be with you!, 2023
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries · 2023
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The potential of llms for coding with low-resource and domain-specific programming languages
Original
Artur Tarassow · 2023
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Microsoft’s github copilot now has over a million users, 2023
Inside · 2023
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An empirical evaluation of using large language models for automated unit test generation
Original
Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip · 2023
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Evaluation of openai codex for hpc parallel programming models kernel generation
William Godoy, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, and Jeffrey Vetter · 2023
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Self-collaboration code generation via chatgpt
Original
Yihong Dong, Xue Jiang, Zhi Jin, and Ge Li · 2023
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Exploring the effectiveness of large language models in generating unit tests
Original
Mohammed Latif Siddiq, Joanna Santos, Ridwanul Hasan Tanvir, Noshin Ulfat, Fahmid Al Rifat, and Vinicius Carvalho Lopes · 2023
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Codet5+: Open code large language models for code understanding and generation
Original
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi · 2023
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Codegeex: A pre-trained model for code generation with multilingual evaluations on humaneval-x, 2023
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang · 2023
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URL https://github.com/kthohr/optim
Github - kthohr/optim: Optimlib: a lightweight c++ library of numerical optimization methods for nonlinear functions, 2023 · 2023
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URL https://github.com/mratsim/Arraymancer
Github - mratsim/arraymancer: A fast, ergonomic and portable tensor library in nim with a deep learning focus for cpu, gpu and embedded devices via openmp, cuda and opencl backends, 2023 · 2023
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URL https://github.com/OpenNMT/CTranslate2
Github - opennmt/ctranslate2: Fast inference engine for transformer models, 2023 · 2023
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URL https://github.com/faasm/faasm
Github - faasm/faasm: High-performance stateful serverless runtime based on webassembly, 2023 · 2023
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URL https://github.com/ddemidov/amgcl
Github - ddemidov/amgcl: C++ library for solving large sparse linear systems with algebraic multigrid method, 2023 · 2023
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URL https://github.com/kthohr/stats
Github - kthohr/stats: A c++ header-only library of statistical distribution functions., 2023 · 2023
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URL https://github.com/OpenCppCoverage/OpenCppCoverage
Opencppcoverage/opencppcoverage: Opencppcoverage is an open source code coverage tool for c++ under windows., 2023 · 2023
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URL https://gcc.gnu.org/onlinedocs/gcc/Gcov.html
Gcov (using the gnu compiler collection (gcc)), 2023 · 2023
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URL https://github.com/TApplencourt/OvO
Tapplencourt/ovo: Openmp vs offload, 2023 · 2023
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Codamosa: Escaping coverage plateaus in test generation with pre-trained large language models
Caroline Lemieux, Jeevana Priya Inala, Shuvendu K Lahiri, and Siddhartha Sen · 2023
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Large language models and simple, stupid bugs
K. Jesse, T. Ahmed, P. T. Devanbu, and E. Morgan · 2023
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A study on robustness and reliability of large language model code generation, 2023
Li Zhong and Zilong Wang · 2023
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No more manual tests? evaluating and improving chatgpt for unit test generation, 2023
Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, and Xin Peng · 2023
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