Alexander Hägele

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authored 2 papers about 13 hours ago

Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler

Paper • 2508.01483 • Published Aug 2, 2025

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

Paper • 2509.14233 • Published Sep 17, 2025 • 15

authored a paper about 14 hours ago

The Hot Mess of AI: How Does Misalignment Scale With Model Intelligence and Task Complexity?

Paper • 2601.23045 • Published 4 days ago

authored 2 papers 7 months ago

BaCaDI: Bayesian Causal Discovery with Unknown Interventions

Paper • 2206.01665 • Published Jun 3, 2022 • 2

Inverse Scaling in Test-Time Compute

Paper • 2507.14417 • Published Jul 19, 2025 • 28

authored a paper 12 months ago

The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training

Paper • 2501.18965 • Published Jan 31, 2025 • 7

authored a paper over 1 year ago

Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Paper • 2405.18392 • Published May 28, 2024 • 12