section-writing-agent

To generate research paper sections, provide your outline, idea notes, experimental logs, and figure assets to a multimodal LLM. The agent processes these workspace files in a single call to output the Abstract, Methodology, Experiments, and Conclusion while integrating citations and LaTeX formatting.

Yes, you can embed figures and extract tables into a LaTeX document using a multimodal LLM call. The agent uses vision capabilities for figure description and deterministic helper scripts to construct LaTeX tables from experimental logs, integrating them directly into the final manuscript.

You validate citations and LaTeX syntax during manuscript generation using built-in deterministic helper scripts. These scripts automatically check the LaTeX structure and verify citations while the multimodal LLM generates the paper sections, ensuring a polished output.

Automating LaTeX generation for a research paper requires a workspace containing an outline, idea description, experimental logs, and figure assets. Additionally, you need access to deterministic helper scripts for metrics extraction and a multimodal LLM capable of processing both text and images.

Single-call paper generation works with multimodal inputs by leveraging a multimodal LLM that processes both text and images. It reads experimental logs for table construction and uses vision inputs to generate figure descriptions, combining them into a complete LaTeX document.

A limitation of single-call paper writing is its reliance on pre-existing workspace files; it requires a prepared outline, experimental logs, and figure assets to function correctly. It automates section drafting and LaTeX formatting but cannot generate research data or create original figures from scratch.