2 papers
cs.AI2026
auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation
Ben Prystawski, Kushin Mukherjee, Daniel Wurgaft +4
AI-based scientific automation is increasingly possible by using agents to generate hypotheses, design experiments, and analyze data. Data collection is a major bottleneck in this…
cs.CL2024
Is Child-Directed Speech Effective Training Data for Language Models?
Steven Y. Feng, Noah D. Goodman, Michael C. Frank
While high-performing language models are typically trained on hundreds of billions of words, human children become fluent language users with a much smaller amount of data. What a…