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SIGA transforms general coding agents into efficient operators of scientific simulators, achieving a 36x speedup in setup time compared to human experts.
NF-CoT achieves higher code-generation accuracy with lower reasoning costs by enabling latent reasoning in continuous states without sacrificing the benefits of traditional chain-of-thought approaches.
Today's best AI agents still fail more than half the time on real-world tasks combining vision, search, and coding, revealing critical gaps in reasoning and tool use.
