How Multi-Token Prediction Boosts Transformer Planning
Discover how multi-token prediction enhances Transformer models' reasoning and planning abilities, outperforming traditional next-token methods.
Physics-Bounded Deep Learning for Solar Forecasting in Microgrids
Discover advanced physics-bounded deep learning for accurate solar forecasting in autonomous off-grid microgrids, improving stability and efficiency.
Small-Scale Disposition Distillation: Key Negative Findings
Explore the challenges and negative results in small-scale disposition distillation for AI models, highlighting rigorous validation and model reliability i...
MVAdapt: Zero-Shot Multi-Vehicle Adaptation for Autonomous Driving
Discover MVAdapt, a zero-shot multi-vehicle adaptation framework that enhances end-to-end autonomous driving by conditioning on vehicle physics.
Limitations of Protein Sequence Data in Parkinson’s Classification
Explore the challenges of using protein sequence data alone for Parkinson's disease classification and the need for advanced biological features.