Search papers, labs, and topics across Lattice.
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Achieving 98.6% accuracy in 3D Gaussian world modeling could redefine efficiency benchmarks for robotic manipulation tasks.
Training-time Gaussian distillation can elevate WAM performance by over 19% by effectively integrating geometric and semantic information without altering deployment architecture.
Trial Parallelism accounts for over 65% of reasoning computation in LLMs, and harnessing it can lead to significant speedups in problem-solving.
MotionCraft achieves high-quality video super-resolution with predictable control over temporal smoothness and fidelity, outperforming traditional methods in complex motion scenarios.
Trust in AI agent networks hinges on blockchain, which can redefine how agents interact across diverse platforms and stakeholders.
LMMs can learn to generate images *and* improve their understanding abilities, without catastrophic forgetting, by carefully disentangling and sharing experts within a MoE architecture.
End-to-end autonomous driving gets a boost with a new framework that links perception, prediction, and planning in a unified chain of thought, outperforming fragmented approaches.
LongCat-Next shatters the language-centric paradigm by unifying text, vision, and audio into a single autoregressive model with minimal modality-specific design, finally reconciling understanding and generation in discrete vision modeling.
