Learnable programming: blocks and beyond Page 1 72 COMMUNICATIONS OF THE ACM |
JUNE 2017 | VOL. 60 | NO. 6 review articles A GLOBAL PUSH to broaden participation in …

Diagnostic messages generated by compilers and interpreters such as syntax error
messages have been researched for over half of a century. Unfortunately, these messages …

Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn
instruction-taking out-of-the-box, making them attractive materials for designing natural …

Code-generating large language models map natural language to code. However, only a
small portion of the infinite space of naturalistic utterances is effective at guiding code …

Source code summarization aims to automatically generate concise summaries of source
code in natural language texts, in order to help developers better understand and maintain …

The recent advancements in Generative AI have significantly advanced the field of text-to-
image generation. The state-of-the-art text-to-image model, Stable Diffusion, is now capable …

Generative AI models, specifically large language models (LLMs), have made strides
towards the long-standing goal of text-to-code generation. This progress has invited …

A great part of software development involves conceptualizing or communicating the
underlying procedures and logic that needs to be expressed in programs. One major …

Program synthesis is the task of automatically finding a program in the underlying
programming language that satisfies the user intent expressed in the form of some …

End-users can potentially style and customize websites by editing them through in-browser
developer tools. Unfortunately, end-users lack the knowledge needed to translate high-level …