Shaofei Cai

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upvoted a collection 18 days ago

GROOT

Collection

GROOT is a research series investigating how self-supervised and weakly supervised learning can be used to train agents that follow instructions. • 3 items • Updated 16 days ago • 2

upvoted a paper 21 days ago

Generative Evaluation of Complex Reasoning in Large Language Models

Paper • 2504.02810 • Published 26 days ago • 14

upvoted a collection 22 days ago

ROCKET

Collection

ROCKET is the research series that explores vision-based goal specification methods. • 11 items • Updated 16 days ago • 2

upvoted a paper 22 days ago

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment

Paper • 2503.02505 • Published Mar 4 • 7

upvoted a paper 24 days ago

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published 29 days ago • 269

upvoted an article about 1 month ago

view article

Article

Introducing RWKV — An RNN with the advantages of a transformer

May 15, 2023

• 21

upvoted a paper about 1 month ago

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping

Paper • 2502.20900 • Published Feb 28 • 9

upvoted a paper 6 months ago

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting

Paper • 2410.17856 • Published Oct 23, 2024 • 52

upvoted a paper 10 months ago

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Paper • 2407.00114 • Published Jun 27, 2024 • 13