conftrace_

scaling law

120 papers

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large language model (13587) language model (4599) model scaling (135) transfer learning (5449) neural network optimization (1293) zero-shot learning (3650) transformer architecture (1560) mixture of expert (640) compute budget (9) multimodal learning (4645)

Papers

Scaling Laws for Native Multimodal Models ICCV 2025
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025
Slamming: Training a Speech Language Model on One GPU in a Day ACL 2025
Scalable Vision Language Model Training via High Quality Data Curation ACL 2025
Compute Optimal Scaling of Skills: Knowledge vs Reasoning ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025
Temporal Scaling Law for Large Language Models EMNLP 2025
Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models EMNLP 2025
Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities ACL 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
Scaling Laws for Multilingual Language Models ACL 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems EMNLP 2025
When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs EMNLP 2025
Low-Bit Quantization Favors Undertrained LLMs ACL 2025
Scaling Law for Time Series Forecasting NIPS 2024
Emergent Abilities in Reduced-Scale Generative Language Models NAACL 2024
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024
A Proposal for Scaling the Scaling Laws EACL 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NIPS 2024
On the Scaling Laws of Geographical Representation in Language Models COLING 2024
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NIPS 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024