Kristian Schwethelm

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upvoted a paper 1 day ago

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

Paper • 2608.09444 • Published 5 days ago • 3

upvoted a paper 8 days ago

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

Paper • 2609.09140 • Published 22 days ago • 5

upvoted 3 articles 4 months ago

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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

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Article

Unlocking asynchronicity in continuous batching

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ror, pcuenq, ariG23498

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May 14

• 67

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Article

Continuous batching from first principles

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• +1

ror, ArthurZ, mcpotato

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Nov 25, 2025

• 445

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