2 papers
cs.AI2026
Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
Valentin Romanov, Monique Bax, Steven Niederer
Accurately extracting nuanced, contextualized data from research articles is laborious and time intensive. Here, we investigate the performance of frontier, browser-based large lan…
cs.CL2025
The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences
Valentin Romanov, Steven A Niederer
Developing effective prompts demands significant cognitive investment to generate reliable, high-quality responses from Large Language Models (LLMs). By deploying case-specific pro…