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University of Macau, Guangdong Institute of Intelligence Science and Technology
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VLMs can achieve state-of-the-art adversarial robustness by iteratively refining visual and textual representations through a closed-loop prompting mechanism, even with frozen encoders.
LLMs can predict the outcome of causal experiments with high accuracy, but often fail to correctly identify the underlying causal mechanisms, revealing a critical gap in their ability to reason about cause and effect.
Natural-abundance 13C zero-field NMR can now resolve rare isotopomers and provide detailed molecular insights without the need for complex sample preparation.
