MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models
Paper • 2607.07673 • Published • 2
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Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning
Paper • 2607.08393 • Published • 6
Self-Guided Test-Time Training for Long-Context LLMs
Paper • 2607.09415 • Published • 7
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
Paper • 2607.06553 • Published • 9
KronQ: LLM Quantization via Kronecker-Factored Hessian
Paper • 2607.07964 • Published • 12
Trust Region Policy Distillation
Paper • 2607.04751 • Published • 17
Video Generation Models are General-Purpose Vision Learners
Paper • 2607.09024 • Published • 37
Scalable Visual Pretraining for Language Intelligence
Paper • 2607.09657 • Published • 40
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
Paper • 2607.08964 • Published • 43
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VKUE: No GPU? Runs Anyway — a 34.7B Reasoner on a Laptop and on Bare CPU
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