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Shanghai Jiao Tong University
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Intern-S2-Preview-397B not only excels in multimodal scientific reasoning but also enhances biological instruction performance without altering its foundational architecture.
AdvancedMathBench reveals that even state-of-the-art models struggle with advanced mathematical reasoning, achieving only 75.8% accuracy in proof generation.
Visual Pretraining outperforms text-only methods, revealing that rich visual cues can enhance language model performance in ways previously underestimated.
ThoughtFold cuts token usage by 56% without sacrificing accuracy by folding reasoning chains and eliminating redundant explorations.
