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The Chinese University of Hong Kong
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No current MLLM can reliably issue timely safety warnings, with performance sharply varying across domains and a troubling trade-off between recall and false positives.
LLMs can now actively manage their own context using internal memory tools, leading to accuracy gains of up to 52% on complex reasoning tasks compared to standard LLMs.
