Papers by Donghuan Song

    1 papers
    Datasets for Scientific Literature Understanding: A Survey (2026.findings-acl)

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    Challenge: Empowering machines to understand scientific literature is crucial for accelerating scientific discovery and advancing the AI for Science paradigm.
    Approach: They propose a systematic taxonomy that organizes resources spanning structural understanding, text understanding, multimodal understanding and pre-training/instruction fine-tuning.
    Outcome: The proposed taxonomy organizes resources spanning structural understanding, text understanding, multimodal understanding and pre-training/instruction fine-tuning.

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