Energy-Based Transformers are Scalable Learners and Thinkers
【DL輪読会】Energy-Based Transformers are Scalable Learners and Thinkers by @DeepLearning2 more
カテゴリー: dls-2025
“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
Instruction Tuning With Loss Over Instructions
【DL輪読会】Instruction Tuning With Loss Over Instructions by @DeepLearning2023
TaskBench: Benchmarking Large Language Models for Task Automation
【DL輪読会】TaskBench: Benchmarking Large Language Models for Task Automation by @DeepLear more
Learning to Reason without External Rewards
【DL輪読会】Learning to Reason without External Rewards by @DeepLearning2023
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
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
Novelty Detection in Reinforcement Learning withWorld Models
【DL輪読会】Novelty Detection in Reinforcement Learning with World Models by @DeepLearning more
Programmatic Video Prediction Using Large Language Models
【DL輪読会】Programmatic Video Prediction Using Large Language Models by @DeepLearning2023
WoMAP: World Models For Embodied Open-Vocabulary Object Localization
【DL輪読会】 WoMAP: World Models For Embodied Open-Vocabulary Object Localization by @Deep more