Learning from video: how to leverage the no-action label video data
【DL輪読会】Learning from video: how to leverage the no-action label video data by @DeepLe more
Category: dls-2025
Real-Time Execution of Action Chunking Flow Policies
【DL輪読会】Real-Time Execution of Action Chunking Flow Policies by @DeepLearning2023
DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using Large Language Models
【DL輪読会】DART-LLM: Dependency-Aware Multi-Robot Task Decomposition and Execution using more
Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
【DL輪読会】Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulatio more
Titans: Learning to Memorize at Test Time
【DL輪読会】 Titans: Learning to Memorize at Test Time by @DeepLearning2023
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
【DL輪読会】Towards Understanding How Knowledge Evolves in Large Vision-Language Models by more
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
【DL輪読会】 Language Models Are Capable of Metacognitive Monitoring and Control of Their more
From task structures to world models: what do LLMs know?
【DL輪読会】From task structures to world models: what do LLMs know? by @DeepLearning2023
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
【DL輪読会】Text2World: Benchmarking Large Language Models for Symbolic World Model Genera more
Comparison of Vision-Language-Action Models: Pi0, Pi0.5, and Gemini Robotics
【DL輪読会】 Comparison of Vision-Language-Action Models: Pi0, Pi0.5, and Gemini Robotics more