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Evaluate and compare paper quality using four distinct autoraters from PaperOrchestra.
Automate literature searches and draft sections for academic papers.
Transform unstructured research materials into submission-ready LaTeX papers using a multi-agent pipeline.
Reverse-engineer raw materials from AI research papers to build benchmark cases for evaluating writing pipelines.
Automate the creation of structured outlines for academic papers from raw materials.
Automate the generation of high-quality figures and diagrams for academic papers.
Automates the drafting of remaining paper sections using a single multimodal LLM call.
Aggregates AI agent logs into structured inputs for PaperOrchestra.
Iteratively refine academic drafts by simulating peer review and applying targeted revisions.
Automate the process of turning research materials into a submission-ready LaTeX manuscript.