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Collections including paper arxiv:2510.12403
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World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
Paper • 2503.10480 • Published • 55 -
A Survey on Vision-Language-Action Models: An Action Tokenization Perspective
Paper • 2507.01925 • Published • 38 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 65
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OpenVLA: An Open-Source Vision-Language-Action Model
Paper • 2406.09246 • Published • 41 -
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
Paper • 2411.19650 • Published -
Octo: An Open-Source Generalist Robot Policy
Paper • 2405.12213 • Published • 29 -
Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
Paper • 2412.03293 • Published
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Foundation Models in Robotics: Applications, Challenges, and the Future
Paper • 2312.07843 • Published • 18 -
Neural Fields in Robotics: A Survey
Paper • 2410.20220 • Published • 5 -
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset
Paper • 2410.22325 • Published • 10 -
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Paper • 2410.21845 • Published • 15
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about 10 hours ago
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LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 57 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 52 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 43 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 63
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Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 89 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 151 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 47
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about 24 hours ago
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1 day ago
1 day ago-
World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
Paper • 2503.10480 • Published • 55 -
A Survey on Vision-Language-Action Models: An Action Tokenization Perspective
Paper • 2507.01925 • Published • 38 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 65
Collection by
about 10 hours ago
about 10 hours ago-
LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 57 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 52 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 43 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 63
Collection by
1 day ago
1 day ago-
OpenVLA: An Open-Source Vision-Language-Action Model
Paper • 2406.09246 • Published • 41 -
CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
Paper • 2411.19650 • Published -
Octo: An Open-Source Generalist Robot Policy
Paper • 2405.12213 • Published • 29 -
Diffusion-VLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
Paper • 2412.03293 • Published
Collection by
1 day ago
1 day ago-
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 89 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 151 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 47
Collection by
1 day ago
1 day ago-
Foundation Models in Robotics: Applications, Challenges, and the Future
Paper • 2312.07843 • Published • 18 -
Neural Fields in Robotics: A Survey
Paper • 2410.20220 • Published • 5 -
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset
Paper • 2410.22325 • Published • 10 -
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Paper • 2410.21845 • Published • 15