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Shanghai AI Laboratory
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LLMs struggle to navigate the complexities of real-world finance, as evidenced by a new benchmark revealing their limitations in timeliness, regulatory compliance, and tool selection across 760 financial APIs.
Achieve practical privacy-utility trade-offs in multimodal sentiment analysis with Missing-by-Design (MBD), a framework that surgically removes modality-specific information without full retraining.
LLMs can now dynamically create and refine their own scientific tools at test time, outperforming agents stuck with static toolsets.
