Self-Improving VLM Judges Without Human Annotation
【DL輪読会】Self-Improving VLM Judges Without Human Annotation by @DeepLearning2023
カテゴリー: papers
“ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS”
【DL輪読会】"ROBOTOUILLE: AN ASYNCHRONOUS PLANNING BENCHMARK FOR LLM AGENTS" by more
Next-Latent Prediction Transformers Learn Compact World Models
【DL輪読会】Next-Latent Prediction Transformers Learn Compact World Models by @DeepLearnin more
Training-Free Activation Sparsity in Large Language Models
【DL輪読会】Training-Free Activation Sparsity in Large Language Models by @DeepLearning202 more
Mixture of Contexts for Long Video Generation
【DL輪読会】Mixture of Contexts for Long Video Generation by @DeepLearning2023
World-in-World: World Models in a Closed-Loop World
【DL輪読会】World-in-World: World Models in a Closed-Loop World by @DeepLearning2023
World Simulation with Video Foundation Models for Physical AI
https://www.docswell.com/s/DeepLearning2023/KPGPD6-2025-11-17-152333
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
https://www.docswell.com/s/DeepLearning2023/5LVPDD-2025-11-17-152136
RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models
https://www.docswell.com/s/DeepLearning2023/Z9MQ3P-2025-11-17-151849
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
【DL輪読会】Representation Alignment for Generation: Training Diffusion Transformers Is Ea more