ml-paper-writing

Automate literature review for ML conference papers by using semantic search APIs to find relevant papers and verify citations. The system extracts research contributions and generates verified BibTeX entries directly from source repositories.

Yes, you can generate a complete first draft for NeurIPS or ICML from your research repository. The workflow extracts key project information and integrates ready-to-go LaTeX templates to ensure standard compliance and professional formatting.

Yes, you need APIs for semantic search and BibTeX generation to integrate arxiv and semantic scholar. These dependencies enable automated literature search, citation verification, and metadata extraction during the paper writing workflow.

The best way to ensure LaTeX template compliance for ACL, ICLR, or AAAI formats is using built-in templates specific to each conference. The system provides ready-to-go templates and writing guidelines to maintain strict formatting standards.

Citation verification works by cross-referencing proposed citations against semantic APIs and pre-existing references. It validates metadata accuracy and generates correct BibTeX entries to ensure all citations in ML/AI conference papers meet academic standards.

Limitations when extracting research contributions from a source repository include dependency on clear project documentation and valid API access for semantic search. Ambiguous repository structures may require manual clarification before generating the paper draft.