2 papers
cs.LG2026
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). Howev…
cs.CV2026
LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimation
Jun Ma, Zhenye Yang, Ruichen Zhou +3
Driver gaze estimation serves as a fundamental metric for evaluating driver attentiveness in modern monitoring systems. Beyond being vulnerable to sudden lighting changes and senso…