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AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Paper • 2401.12963 • Published • 12 -
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RL Interpretable Policy Via Kolmogorov Arnold Network
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ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
Paper • 2312.16217 • Published
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AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 11 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
Paper • 2402.16840 • Published • 23 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 111
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SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Paper • 2401.16013 • Published • 20 -
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
Paper • 2401.17583 • Published • 25 -
GARField: Group Anything with Radiance Fields
Paper • 2401.09419 • Published • 17 -
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Paper • 2401.12963 • Published • 12
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 16 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 9 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 11 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 47