scaling law

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025 Slamming: Training a Speech Language Model on One GPU in a Day ACL 2025 Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025 Strong Model Collapse ICLR 2025 Temporal Scaling Law for Large Language Models EMNLP 2025 The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws ICLR 2025 Towards Precise Scaling Laws for Video Diffusion Transformers CVPR 2025 Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025 Ultra-Sparse Memory Network ICLR 2025 Uncovering Scaling Laws for Large Language Models via Inverse Problems EMNLP 2025 U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models ICLR 2025 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025 When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs EMNLP 2025 Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies ICML 2024 A Dynamical Model of Neural Scaling Laws ICML 2024 A Label is Worth A Thousand Images in Dataset Distillation NeurIPS 2024 Algorithmic progress in language models NeurIPS 2024 A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning AAAI 2024 An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024 An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem NeurIPS 2024 A Proposal for Scaling the Scaling Laws EACL 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NeurIPS 2024 A Tale of Tails: Model Collapse as a Change of Scaling Laws ICML 2024 Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024 CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024