Towards an understanding of large language models in software engineering tasks

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Yue Wang, Weishi Wang, Shafiq Joty et al. · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 1.3K citations · Full text

Computing, Computer Science, Computational Linguistics +13

Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts

J.D. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann et al. · 2023 · 799 citations · Full text

Computing, Computer Science, Design +17

Summary of ChatGPT-Related research and perspective towards the future of large language models

Yiheng Liu, Tianle Han, Siyuan Ma et al. · Meta-Radiology · 2023 · 726 citations · Full text

Computing, Computer Science, Computational Linguistics +16

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models

Priyan Vaithilingam, Tianyi Zhang, Elena L. Glassman · CHI Conference on Human Factors in Computing Systems Extended Abstracts · 2022 · 550 citations

Computing, Computer Science, Human-computer Interaction +16