565 citations · 588 across the 12 of their papers we have counts for
3 papers · 2 filters
Learning Scientific Trajectories to Predict Future Biomedical Discoveries
Chia-Hsuan Chang, Brian Ondov, Jiang Lv +7
AI co-scientists have expanded the use of large language models for generating scientific hypotheses and guiding experimental investigation. Here we investigate whether temporal pa…
HouseholdBench: Evaluating Large Language Models as Predictors of Household Economic Behavior
Jin Huang, Diego Ferreras Garrucho, Yutong Xie +4
Large language models (LLMs) have the potential to meet a key goal in economics: a quantitative model of household decision making, across a variety of settings. Yet existing evalu…
BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks
Jin Huang, Yutong Xie, Wanli Song +5
Foundation models have been increasingly applied to behavioral science domains such as psychology, sociology, and economics. While these models show promise in tasks such as survey…