Kristian Schwethelm

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upvoted a paper 5 days ago

Improving Test-Time Scaling with Adaptive Looped Transformers

Paper • 2609.35748 • Published 8 days ago • 58

upvoted a paper 8 days ago

Depth-adaptive Inference of Looped Language Models via Continuous Depth Batching

Paper • 2608.09444 • Published 11 days ago • 13

upvoted a paper 14 days ago

NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

Paper • 2609.09140 • Published 28 days ago • 5

upvoted 3 articles 5 months ago

view article

Article

Mixture of Experts (MoEs) in Transformers

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ariG23498, pcuenq, merve, IlyasMoutawwakil, ArthurZ, sergiopaniego, Molbap

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Feb 26

• 179

view article

Article

Unlocking asynchronicity in continuous batching

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• +1

ror, pcuenq, ariG23498

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May 14

• 68

view article

Article

Continuous batching from first principles

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• +1

ror, ArthurZ, mcpotato

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Nov 25, 2025

• 449

upvoted 4 papers 5 months ago

RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation

Paper • 2605.13542 • Published May 13 • 8

Hallucinations Undermine Trust; Metacognition is a Way Forward

Paper • 2605.01428 • Published May 2 • 24

LFM2 Technical Report

Paper • 2511.23404 • Published Nov 28, 2025 • 74

How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models

Paper • 2604.21106 • Published Apr 27 • 11