
Elizabeth Guest developed a reusable bibliography foundation for the ExoMol/bib repository by creating llm.bib, a BibTeX file containing curated entries on Large Language Models in scientific literature analysis. Her work focused on enabling Retrieval Augmented Generation and prompt engineering for data extraction and dataset construction, supporting scalable and reproducible research workflows. She applied skills in bibliography management, technical writing, and BibTeX file generation, demonstrating careful repository hygiene and disciplined commit practices. While the project scope was focused, Elizabeth’s contribution established a vendor-agnostic infrastructure that accelerates literature mining and data extraction, laying groundwork for future enhancements in research data workflows.

April 2025 (ExoMol/bib) – Key delivery: Created llm.bib with two papers to enable LLM-based literature analysis, Retrieval Augmented Generation (RAG), and prompt engineering for data extraction and dataset construction. Commit: 2f22bd17f0d03991bc055adb43aace2fa3f6e755. Major bugs fixed: none reported this month. Overall impact: establishes a reusable, RAG-ready bibliography foundation that accelerates research workflows, improves data extraction quality, and supports reproducible dataset construction. Technologies/skills demonstrated: BibTeX/file generation, LLM literature mining concepts, RAG workflows, prompt engineering, repository hygiene and commit discipline.
April 2025 (ExoMol/bib) – Key delivery: Created llm.bib with two papers to enable LLM-based literature analysis, Retrieval Augmented Generation (RAG), and prompt engineering for data extraction and dataset construction. Commit: 2f22bd17f0d03991bc055adb43aace2fa3f6e755. Major bugs fixed: none reported this month. Overall impact: establishes a reusable, RAG-ready bibliography foundation that accelerates research workflows, improves data extraction quality, and supports reproducible dataset construction. Technologies/skills demonstrated: BibTeX/file generation, LLM literature mining concepts, RAG workflows, prompt engineering, repository hygiene and commit discipline.
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