Taiga Someya is a Ph.D. student at the University of Tokyo and a MATS 11.0 Fellow in the Redwood Research stream. His research spans natural language processing and sports analytics using deep learning. Former soccer U-15/16 Japan national team candidate and Kashiwa Reysol U-18 player.
Global PIQA was accepted as a poster to the NeurIPS 2026 Evaluations and Datasets Track, and a soccer inverse-reinforcement-learning paper was accepted as an oral presentation at IEEE GCCE 2026.
Joined the Autumn 2026 Redwood Research stream at MATS Research.
Our paper on human-like inductive biases for improving LLM data efficiency received an SAC Highlight Award at ACL 2026.
ACL 2026
SAC Highlight AwardCoNLL 2025
OralACL 2025
Oral + Panel (Top 0.8%)LREC-COLING 2024
Best Paper Award (1/1554; Top 0.06%)