6 papers
CreativeGame:Toward Mechanic-Aware Creative Game Generation
Hongnan Ma, Han Wang, Shenglin Wang +6
Large language models can generate plausible game code, but turning this capability into \emph{iterative creative improvement} remains difficult. In practice, single-shot generatio…
The Promise and Reality of Continuous Integration Caching: An Empirical Study of Travis CI Builds
Taher A. Ghaleb, Daniel Alencar da Costa, Ying Zou
Continuous Integration (CI) provides early feedback by automatically building software, but long build durations can hinder developer productivity. CI services use caching to speed…
MemoCoder: Automated Function Synthesis using LLM-Supported Agents
Yiping Jia, Zhen Ming Jiang, Shayan Noei +1
With the widespread adoption of Large Language Models (LLMs) such as GitHub Copilot and ChatGPT, developers increasingly rely on AI-assisted tools to support code generation. While…
Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models
Fangjian Lei, Jiawen Liu, Shayan Noei +3
Common Business Oriented Language (COBOL) is a programming language used to develop business applications that are widely adopted by financial, business, and government agencies. D…
Towards Refining Developer Questions using LLM-Based Named Entity Recognition for Developer Chatroom Conversations
Pouya Fathollahzadeh, Mariam El Mezouar, Hao Li +2
In software engineering chatrooms, communication is often hindered by imprecise questions that cannot be answered. Recognizing key entities can be essential for improving question…
More Bang for the Buck: Process Reward Modeling with Entropy-Driven Uncertainty
Lang Cao, Renhong Chen, Yingtian Zou +9
We introduce the Entropy-Driven Uncertainty Process Reward Model (EDU-PRM), a novel entropy-driven training framework for process reward modeling that enables dynamic, uncertainty-…