1 citations · 1 across the 3 of their papers we have counts for
5 papers
Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories
Joseph Chee Chang, Michael D'Arcy, Amy X. Zhang +15
A theory draws many independent observations into one framework with novel hypotheses. A researcher building such a theory must synthesize observations scattered across many papers…
Old Ideas, Novel Problems: The Instability of LLM-Based Novelty Evaluation
Noy Sternlicht, Simra Shahid, Peter Jansen +3
AI-based ideation systems are often evaluated on the novelty of their ideas, and that judgment is increasingly delegated to large language models. Such judges are typically built a…
Generating Literature-Driven Scientific Theories at Scale
Peter Jansen, Peter Clark, Doug Downey +1
Contemporary automated scientific discovery has focused on agents for generating scientific experiments, while systems that perform higher-level scientific activities such as theor…
AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite
Jonathan Bragg, Mike D'Arcy, Nishant Balepur +36
AI agents hold the potential to revolutionize scientific productivity by automating literature reviews, replicating experiments, analyzing data, and even proposing new directions o…
HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation
Rosni Vasu, Peter Jansen, Pao Siangliulue +4
While there has been a surge of interest in automated scientific discovery (ASD), especially with the emergence of LLMs, it remains challenging for tools to generate hypotheses tha…