Oliver Sieberling

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upvoted a paper 15 days ago

Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

Paper • 2512.20605 • Published 18 days ago • 60

upvoted a paper about 1 month ago

WUSH: Near-Optimal Adaptive Transforms for LLM Quantization

Paper • 2512.00956 • Published Nov 30, 2025 • 20

upvoted a paper 6 months ago

The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm

Paper • 2507.18553 • Published Jul 24, 2025 • 40

upvoted a paper 7 months ago

Unified Scaling Laws for Compressed Representations

Paper • 2506.01863 • Published Jun 2, 2025 • 19

upvoted 2 papers 8 months ago

SVD-Free Low-Rank Adaptive Gradient Optimization for Large Language Models

Paper • 2505.17967 • Published May 23, 2025 • 17

Quartet: Native FP4 Training Can Be Optimal for Large Language Models

Paper • 2505.14669 • Published May 20, 2025 • 78

upvoted 2 papers 11 months ago

DarwinLM: Evolutionary Structured Pruning of Large Language Models

Paper • 2502.07780 • Published Feb 11, 2025 • 18

QuEST: Stable Training of LLMs with 1-Bit Weights and Activations

Paper • 2502.05003 • Published Feb 7, 2025 • 42