| 25 Sep 2026 | Our paper “BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems” has been accepted to the Evaluation and Datasets Track of NeurIPS 2026. We introduce BBOWP, a new task of inferring both the search space and the optimization algorithm from a natural-language problem description, and BBOWP-Bench, a benchmark for evaluating LLMs on this task. [Paper] [Code] |
| 11 Sep 2026 | Our paper “Evaluating Large Language Models on Black-Box Optimization Word Problems”, presented by Yutaro Yamada at FAN2026 (the 34th Intelligent System Symposium), received the Best Paper Award. [Paper] [Code] |
| 18 Apr 2026 | Our paper “Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning” has been accepted at the 28th International Conference on Pattern Recognition (ICPR 2026) (Lyon, France, August 17–22, 2026). |