This paper introduces Youtu-Parsing-Omni, a system that can parse documents, images, audio, and video into structured records, allowing agents to access and cite evidence across multiple modalities. Practitioners might care about this research because it provides a new approach to multimodal parsing that can improve the performance of agents in various applications.
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This paper introduces SciGame, a controlled benchmark for evaluating language model agents in scientific discovery, and finds that familiar priors can hinder performance, adaptive experimentation can be beneficial but also unfair, and that agents struggle to induce exact symbolic laws in unfamiliar settings.