5 papers
MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models
Yifei Chen, Sarra Habchi, Lili Wei
Modern video games are complex, non-deterministic systems that are difficult to test automatically at scale. Although prior work shows that personality-driven Large Language Model…
A Unified Framework for Rethinking Policy Divergence Measures in GRPO
Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan +6
Reinforcement Learning with Verified Reward (RLVR) has emerged as a critical paradigm for advancing the reasoning capabilities of Large Language Models (LLMs). Most existing RLVR m…
MIMIC: Integrating Diverse Personality Traits for Better Game Testing Using Large Language Model
Yifei Chen, Sarra Habchi, Lili Wei
Modern video games pose significant challenges for traditional automated testing algorithms, yet intensive testing is crucial to ensure game quality. To address these challenges, r…
Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study
Doriane Olewicki, Leuson Da Silva, Suhaib Mujahid +6
We conduct a large-scale empirical user study in a live setup to evaluate the acceptance of LLM-generated comments and their impact on the review process. This user study was perfo…
An Empirical Study on Code Review Activity Prediction and Its Impact in Practice
Doriane Olewicki, Sarra Habchi, Bram Adams
During code reviews, an essential step in software quality assurance, reviewers have the difficult task of understanding and evaluating code changes to validate their quality and p…