paper-talk

Generating conference slides from a research paper involves processing the document to extract key claims and citations, then formatting them into a structured presentation. This ensures the resulting talk is grounded in the paper's original content while maintaining required anonymity checks.

Preparing a conference talk from an academic paper is best handled by an end-to-end automation pipeline that transforms the full text into slides and speaker notes. It performs built-in assurance checks on claims and citations to maintain academic rigor and formatting consistency.

Yes, converting a paper into a presentation with this pipeline requires LaTeX and Python environments. Specifically, it depends on python3-pptx for slide generation, python3-pdftools for PDF processing, and python3-latex alongside texlive to parse and render academic documents correctly.

Yes, you can customize the duration and style of an automatically generated conference talk. The pipeline provides configuration options for talk type, duration, style, and effort level, allowing you to tailor the final presentation artifacts to meet specific conference presentation constraints.

Automated slide generation handles double-blind anonymity by executing dedicated assurance checks during the conversion pipeline. This process scans the generated slides and speaker notes to ensure author-identifying information is removed, maintaining the strict anonymity required for academic conference submissions.

When converting a paper into a conference presentation, the pipeline performs automated claim, citation, and anonymity assurance checks. These checks verify that the generated slides and speaker notes are factually grounded in the source document and compliant with academic review standards.