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Author: riyo.ono

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

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Training Strategies for Efficient Embodied Reasoning

【DL輪読会】 Training Strategies for Efficient Embodied Reasoning by @DeepLearning2023

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Improving Vision-Language-Action Model with Online Reinforcement Learning

【輪読会】Improving Vision-Language-Action Model with Online Reinforcement Learning by @De more

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Backtracking Improves Generation Safety

【DL輪読会】Backtracking Improves Generation Safety by @DeepLearning2023

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MMQA: Evaluating LLMs with Multi-Table Multi- Hop Complex Questions

【DL輪読会】MMQA: Evaluating LLMs with Multi-Table Multi- Hop Complex Questions by @DeepLe more

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Packing Input Frame Context in Next- Frame Prediction Models for Video Generation

【DL輪読会】Packing Input Frame Context in Next- Frame Prediction Models for Video Generat more

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Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

【DL輪読会】 Block Diffusion: Interpolating Between Autoregressive and Diffusion Language more

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Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

【DL輪読会】Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predi more

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MANISKILL3: GPU PARALLELIZED ROBOTICS SIMULATION AND RENDERING FOR GENERALIZABLE EMBODIED AI

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SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

【DL輪読会】SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks by @DeepLearni more

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