ScAn-Bench: Evaluating Scaling Analysis Methodology
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/automl/scan_bench
Sources
- GPT-4 Technical Report
- Learning Transferable Visual Models From Natural Language Supervision
- Scaling Laws for Neural Language Models
- Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
- Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
- Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization
- GLU Variants Improve Transformer
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
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