Search papers, labs, and topics across Lattice.
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MemCatalyst reveals that targeted data poisoning can drastically boost membership inference accuracy in Vision-Language Models with minimal resource expenditure.
SparkVLA redefines task execution in hierarchical VLA systems, achieving over 30% improvement in success rates by integrating stop and action length decisions into a single ranking process.
Mandatory GenAI labeling may be more about regulatory optics than effective governance, risking the very innovation it aims to control.
Tactile feedback can enhance VLA models without compromising their pretrained knowledge, leading to a 30.6 percentage-point improvement in manipulation tasks.
Robots can now understand and interact with changing environments far more effectively thanks to a new 3D scene graph representation that fuses visual and semantic information with Gaussian representations.
