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Even state-of-the-art MLLMs struggle to grasp the nuanced data interpretation and narrative coherence required for data videos, with significant performance gaps in causal reasoning and narrative structure.
Intern-S2-Preview-397B not only excels in multimodal scientific reasoning but also enhances biological instruction performance without altering its foundational architecture.
Expert evaluations reveal that while fluency is achieved, institutional completeness and report identity remain significant hurdles for financial report generation in LLMs.
LiveEvalBench reveals that evaluating web generation requires a dynamic, collaborative approach that reflects the interactive nature of frontend development.
ViviDoc lets educators create interactive documents with LLMs by introducing a human-readable intermediate representation that allows them to review and refine generation plans before code is produced.
