Matthieu Zimmer

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upvoted a paper 21 days ago

The Y-Combinator for LLMs: Solving Long-Context Rot with λ-Calculus

Paper • 2603.20105 • Published 24 days ago • 37

upvoted a paper about 2 months ago

Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers

Paper • 2602.18292 • Published Feb 20 • 13

upvoted a paper 2 months ago

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

Paper • 2601.21590 • Published Jan 29 • 14

upvoted a paper 4 months ago

Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing

Paper • 2512.04829 • Published Dec 4, 2025 • 12

upvoted a paper 6 months ago

Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning

Paper • 2509.09284 • Published Sep 11, 2025 • 2

upvoted a paper 7 months ago

Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective

Paper • 2509.22921 • Published Sep 26, 2025 • 12

upvoted an article 8 months ago

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Article

<p style="text-align:center;"> Bridging the Gap: Making Robotics Feel Like Machine Learning </p>

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Aug 12, 2025

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12

upvoted a paper 9 months ago

Experience is the Best Teacher: Grounding VLMs for Robotics through Self-Generated Memory

Paper • 2507.16713 • Published Jul 22, 2025 • 21

upvoted an article 9 months ago

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Article

<p style="text-align:center;"> Bourbaki (7b): SOTA 7B Algorithms for Putnam Bench (Part I: Reasoning MDPs)</p>

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Jul 13, 2025

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11

upvoted a paper 9 months ago

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving

Paper • 2507.02726 • Published Jul 3, 2025 • 14

upvoted a paper about 1 year ago

Almost Surely Safe Alignment of Large Language Models at Inference-Time

Paper • 2502.01208 • Published Feb 3, 2025 • 11

upvoted an article over 1 year ago

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Article

Accelerating Language Model Inference with Mixture of Attentions

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Jan 7, 2025

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24