Automated assessment in computer science education: A state-of-the-art review

JC Paiva, JP Leal, Á Figueira - ACM Transactions on Computing …, 2022 - dl.acm.org
Practical programming competencies are critical to the success in computer science (CS)
education and go-to-market of fresh graduates. Acquiring the required level of skills is a long …

Neurosymbolic programming

S Chaudhuri, K Ellis, O Polozov, R Singh… - … and Trends® in …, 2021 - nowpublishers.com
We survey recent work on neurosymbolic programming, an emerging area that bridges the
areas of deep learning and program synthesis. Like in classic machine learning, the goal …

Program synthesis with large language models

J Austin, A Odena, M Nye, M Bosma… - ar** pseudocode to executable code, assuming a one-to-one
correspondence between lines of pseudocode and lines of code. Given test cases as a …

Toward verified artificial intelligence

SA Seshia, D Sadigh, SS Sastry - Communications of the ACM, 2022 - dl.acm.org
Toward verified artificial intelligence Page 1 46 COMMUNICATIONS OF THE ACM | JULY
2022 | VOL. 65 | NO. 7 contributed articles ILL US TRA TION B Y PETER CRO W THER A …

Sqlizer: query synthesis from natural language

N Yaghmazadeh, Y Wang, I Dillig, T Dillig - Proceedings of the ACM on …, 2017 - dl.acm.org
This paper presents a new technique for automatically synthesizing SQL queries from
natural language (NL). At the core of our technique is a new NL-based program synthesis …

Code completion with statistical language models

V Raychev, M Vechev, E Yahav - Proceedings of the 35th ACM SIGPLAN …, 2014 - dl.acm.org
We address the problem of synthesizing code completions for programs using APIs. Given a
program with holes, we synthesize completions for holes with the most likely sequences of …