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カテゴリー: dls-2025

Deep Researcher with Test-Time Diffusion

【DL輪読会】”Deep Researcher with Test-Time Diffusion” by @DeepLearning2023

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V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

【DL輪読会】 V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and P more

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Between Circuits and Chomsky: Pre- pretraining on Formal Languages Imparts Linguistic Bias

【DL輪読会】Between Circuits and Chomsky: Pre- pretraining on Formal Languages Imparts Lin more

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Energy-Based Transformers are Scalable Learners and Thinkers

【DL輪読会】Energy-Based Transformers are Scalable Learners and Thinkers by @DeepLearning2 more

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“SmolVLA” A vision-language-action model for affordable and efficient robotics

【DL輪読会】“SmolVLA” A vision-language-action model for affordable and efficient robotics more

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Instruction Tuning With Loss Over Instructions

【DL輪読会】Instruction Tuning With Loss Over Instructions by @DeepLearning2023

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TaskBench: Benchmarking Large Language Models for Task Automation

【DL輪読会】TaskBench: Benchmarking Large Language Models for Task Automation by @DeepLear more

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Learning to Reason without External Rewards

【DL輪読会】Learning to Reason without External Rewards by @DeepLearning2023

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VisionZip: Longer is Better but Not Necessary in Vision Language Models [S. Yang+CVPR’25]

【DL輪読会】VisionZip: Longer is Better but Not Necessary in Vision Language Models [S. Ya more

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Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

【DL輪読会】Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked more

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