Revisiting Numerical Forecasting Models for Language-Based Trajectory Prediction
cs.CV
Submitted: 2026-10-06
Updated: 2026-10-06
Comments: 35 pages, 15 figures. Project page: https://jungyu0413.github.io/MoRE/
Project page: https://jungyu0413.github.io/MoRE
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Conditional Flow Variational Autoencoders for Structured Sequence Prediction
- Distilling the Knowledge in a Neural Network
- Training Compute-Optimal Large Language Models
- Scaling Laws for Neural Language Models
- GUIDE-CoT: Goal-driven and User-Informed Dynamic Estimation for Pedestrian Trajectory using Chain-of-Thought
- Decoupled Weight Decay Regularization
- Proximal Policy Optimization Algorithms
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- Emergent Abilities of Large Language Models
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