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Sun Yat-sen University
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PhysEditWorld reveals that explicit control over physical parameters can transform how game world models interact with their environments, leading to more realistic and manipulable simulations.
Learnable graph patches enable universal transferability across diverse datasets, significantly boosting downstream task performance.
VisualClaw slashes API costs by 98% while boosting accuracy, transforming how VLMs can operate in real-time environments.
Mid-tier LLMs outperform their stronger counterparts in harness self-evolution, challenging assumptions about model capability and adaptability.
Stop hand-feeding your LLM clinical data: ClinSeekAgent actively seeks and synthesizes multimodal evidence, boosting Claude Opus's performance by 15% on multimodal tasks.
