5 published papers
How can we determine whether AI-generated scientific research questions are genuinely valuable? Existing evaluation methods often rely on subjective expert ratings, language-model judgments, or selected case studies. Thi…
Identifying important scientific questions is a fundamental challenge in automated research. While most AI systems focus on answering existing questions, this study introduces an evidence-based framework for discovering…
Which computer-science research questions are most likely to see substantial, independently verifiable technical progress in 2027–2031? This paper presents an evidence-grounded prospective portfolio rather than a probabi…
Most work on machine-assisted science focuses on generating scientific questions or executing experiments autonomously. We address the step in between: given an existing scientific question, a set of competing hypotheses…
Large language models are increasingly asked to propose “important open questions”, and are typically evaluated by asking another model how good those questions feel. We replace taste with history. We construct a tempora…