synthetic tasks

6 papers

• A Controllable Examination for Long-Context Language Models
• Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
• Learnable Sampler Distillation for Discrete Diffusion Models
• Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
• SD-KDE: Score-Debiased Kernel Density Estimation
• Variational Uncertainty Decomposition for In-Context Learning