DanLing NestedTensor: Composable Multi-Ragged Tensors for Deep Learning

arXiv:2609.30379 · cs.LG, cs.AI, cs.PF · Submitted 2026-09-24 · Read on arXiv

cs.LG, cs.AI, cs.PF

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/ZhiyuanChen/DanLing

Terminology

• Trace — 28× in this paper · explained in 2 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Abstraction — 3× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Allocator — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance
• Pointer Sentinel Mixture Models

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks