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Beihang University;
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Agentic reasoning tools struggle with complex financial documents, revealing substantial performance gaps that could impact decision-making in finance.
HyperTool boosts multi-step tool use accuracy by over 100% in LLMs, transforming how agents interact with complex tool workflows.
MARDoc's innovative use of structured memory allows for clearer reasoning in long-document QA, outperforming traditional methods that struggle with context dilution.
Efficient dense 3D reconstruction can now serve as a scalable foundation for next-generation autonomous driving, achieving real-time performance without sacrificing fidelity.
TACO reduces token overhead by 10% while boosting terminal agent performance by up to 4%, revolutionizing how we approach long-horizon reasoning tasks.