Surface electromyography (sEMG) provides a wearable, noninvasive interface to neuromuscular activity for movement decoding and human-computer interaction. Population-scale decoding remains difficult because the relationship between sEMG and neuromuscular activity varies across users and sessions, while task-relevant dy...
He Wang, Hong-Yuan Qi, Zhao-Xiang Zhang et al.· 0 citations
Results show that incorporating language-model guidance into evolutionary SR substantially improves search efficiency while preserving interpretability and the evolutionary character of the algorithm.
Jun Zhao, Kei Sen Fong, M. Motani· GECCO Companion· 0 citations
This work constructs APO fronts for 34 datasets from SRBench by exhaustively searching over short symbolic expressions and by fitting numerical constants with eight commonly used local optimization methods, and finds that the final fronts are relatively stable across numerical optimizers, suggesting that structural sea...
Kei Sen Fong, M. Motani· GECCO Companion· 0 citations
This paper proposes the concept of non-hackable confidence reward schemes and defines a spectrum of such reward schemes for RL confidence calibration training in LLMs, and demonstrates that selective confidence reward hacking can occur in practical datasets with reward schemes that are not designed to be non-hackable.
C. Tan, Zhuoyi Lin, M. Motani et al.· arXiv.org· 0 citations
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