Minimal reproduction of OneRec

Scaling Data-Constrained Language Models

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

🔥🔥🔥 Latest Advances on Large Recommendation Models

[NeurIPS'24 Spotlight] Observational Scaling Laws

A toolkit for scaling law research ⚖

Dimensionless learning

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

Official code for the ICLR 2025 paper, "Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining"

qwen3-base family of models RL on gsm8k using verl, is there an RL power law on downstream tasks?

[ICLR26] AI-based scaling law discovery

[ICLR 2025] Official implementation of "Towards Neural Scaling Laws for Time Series Foundation Models"

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

The Silence of Intelligence — A comprehensive analysis of Anthropic CEO Dario Amodei's philosophy on Scaling Laws, AI safety, and the future of humanity. / Anthropic CEO ダリオ・アモディの思想を体系化したOSS書籍。スケーリング則の本質とAIの未来を解き明かす。

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

[ICML 2023] "Data Efficient Neural Scaling Law via Model Reusing" by Peihao Wang, Rameswar Panda, Zhangyang Wang

Awesome-RL-Reasoning

A curated collection of NLP and LLM resources. Covers essential papers and blogs on Transformers, Reinforcement Learning (RLHF, DPO, GRPO), Mechanistic Interpretability, Scaling Laws, and MLSys.

A method for calculating scaling laws for LLMs from publicly available models