Our Research:
The OptiMaL research group is concerned with developing novel optimization and machine learning algorithms for a range of application domains, with an emphasis on interpretable and human-compatible approaches.
Recent News:
- Two Papers accepted to ISSTA 2026: "Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit" and "Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate With Their Effectiveness?" July 10, 2026
- Paper accepted to SoCS 2026: "Make Use of Your Search Effort: Data Augmentation for Learning Effective Planning Heuristics from Optimal Plans" May 19, 2026
- Paper accepted to ACL 2026: "Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning" April 6, 2026
- Paper accepted to LION 2026: "CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc with Synthesized Checkers" April 6, 2026
- Paper accepted to NeurIPS 2025: "Empowering Decision Trees via Shape Function Branching" September 19, 2025
Group Photo:
