Noah DEJONG

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upvoted an article 21 days ago

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Article

autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training

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autotrust

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27 days ago

• 44

upvoted 2 papers 27 days ago

LEGO-Anything: Coding Agents for 3D Scene Reconstruction

Paper • 2609.36380 • Published 29 days ago • 104

In-Context Learning for Robots: Methods and Applications

Paper • 2609.36012 • Published 29 days ago • 210

upvoted a paper 29 days ago

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Paper • 2609.31620 • Published Sep 25 • 121

upvoted a paper about 2 months ago

Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments

Paper • 2609.04148 • Published Sep 3 • 94

upvoted a paper 2 months ago

VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction

Paper • 2608.26005 • Published Aug 26 • 140