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Nanjing University
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Current autonomous AI agents struggle to recognize adversarial attacks, with significant failures observed in long-horizon execution scenarios.
RAG systems can dynamically defend against retrieval corruption with a graph-based energy minimization approach, achieving superior robustness and response quality while slashing storage overhead.
Standard camera auto-exposure is blind to the needs of remote heart-rate monitoring, but a new method closes the gap to enable robust in-vehicle driver monitoring.
Current audio-language models are surprisingly bad at controlling and interpreting subtle vocal cues, failing in nearly half of situational dialogue scenarios.
