This work introduces SciDocBench, a workflow-centered benchmark targeting capability diagnosis with verifiable training-data construction for scientific-document assistants, and SciDocIR, a structured representation of scientific document objects, layout and cross-reference relations, and provenance.
Shen-Xi Wu, Yu-Hong Liu, Hao-Song Zhang et al.· 1 citation
Atria Dawn Preview is introduced, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world.
Scientific papers require models to reason jointly over text, equations, figures, tables, code, and datasets while preserving the provenance of supporting evidence. Existing benchmarks typically evaluate these capabilities in isolation, leaving unclear whether multimodal models can support realistic scientific-reading...
Shenxi Wu, Yu-Hong Liu, Hao-Song Zhang et al.· 0 citations
Evaluations across scientific, multimodal, agentic, and general-purpose benchmarks show that Intern-S2-Preview-397B achieves competitive or leading results in multiple settings.
Lei Bai, Jiaqi Cao, Chiyu Chen et al.· 3 citations
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