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scaling law (6) diffusion transformer (2) language model (2) model architecture (2) video generation (2) model size (1) parameter count (1) reasoning strategy (1) video diffusion transformer (1) large language model (1)

Papers

Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design ACL 2026 An Architecture Search Framework for Inference-Time Techniques ICML 2025 Compute-Constrained Data Selection ICLR 2025 Distillation Scaling Laws ICML 2025 FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute CVPR 2025 Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation NAACL 2025 Towards Precise Scaling Laws for Video Diffusion Transformers CVPR 2025 Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws ICML 2024 Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech Enhancement Interspeech 2024 Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies EMNLP 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies NeurIPS 2024