Morescient GAI for software engineering

M Kessel, C Atkinson - ACM Transactions on Software Engineering and …, 2024 - dl.acm.org
The ability of Generative AI (GAI) technology to automatically check, synthesize and modify
software engineering artifacts promises to revolutionize all aspects of software engineering …

The Current Challenges of Software Engineering in the Era of Large Language Models

C Gao, X Hu, S Gao, X **a, Z ** - ACM Transactions on Software …, 2024 - dl.acm.org
With the advent of large language models (LLMs) in the artificial intelligence (AI) area, the
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …

Semantic-aware Source Code Modeling

Y Ding - Proceedings of the 39th IEEE/ACM International …, 2024 - dl.acm.org
Source code modeling represents a promising avenue for automating software
development, such as code generation, bug repair, and program analysis. This research …

Scaling Parameter-Constrained Language Models with Quality Data

E Chang, M Paltenghi, Y Li, PJ Lin, C Zhao… - arxiv preprint arxiv …, 2024 - arxiv.org
Scaling laws in language modeling traditionally quantify training loss as a function of dataset
size and model parameters, providing compute-optimal estimates but often neglecting the …

Reverse Thinking Makes LLMs Stronger Reasoners

JCY Chen, Z Wang, H Palangi, R Han… - arxiv preprint arxiv …, 2024 - arxiv.org
Reverse thinking plays a crucial role in human reasoning. Humans can reason not only from
a problem to a solution but also in reverse, ie, start from the solution and reason towards the …

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models

C Liu, R Jabbarvand - arxiv preprint arxiv:2501.18482, 2025 - arxiv.org
Code Executing Reasoning is becoming a new non-functional metric that assesses the
ability of large language models (LLMs) in programming tasks. State-of-the-art frameworks …

CoCoNUT: Structural Code Understanding does not fall out of a tree

C Beger, S Dutta - arxiv preprint arxiv:2501.16456, 2025 - arxiv.org
Large Language Models (LLMs) have shown impressive performance across a wide array of
tasks involving both structured and unstructured textual data. Recent results on various …

[PDF][PDF] Morescient GAI for Software Engineering (Extended Version)

M KESSEL, C ATKINSON - 2025 - researchgate.net
Generative-AI-based tools, and particularly Large Language Models (LLMs) of the kind
made famous by OpenAI's ChatGPT, are set to become one of the most disruptive …