
Elizabeth Guest developed a reusable bibliography foundation for the ExoMol/bib repository by creating llm.bib, a BibTeX file containing two curated entries focused on Large Language Models in scientific literature analysis. Her work enabled Retrieval Augmented Generation and prompt engineering for data extraction and dataset construction, supporting reproducible research workflows. Elizabeth applied skills in bibliography management and technical writing, ensuring repository hygiene and clear commit discipline throughout the process. While the scope was focused, the solution established a scalable infrastructure for future data extraction tasks, demonstrating depth in both BibTeX file generation and the integration of LLM literature mining concepts.
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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