3 papers
cs.CL2026
Human Adults and LLMs as Scientists: Who Benefits from Active Exploration?
Mandana Samiei, Eunice Yiu, Anthony GX-Chen +5
A long-standing finding in the causal learning literature is that adults struggle to identify conjunctive causal rules, where an effect requires the simultaneous presence of multip…
cs.AI2025
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Anthony GX-Chen, Dongyan Lin, Mandana Samiei +4
Language model (LM) agents are increasingly used as autonomous decision-makers which need to actively gather information to guide their decisions. A crucial cognitive skill for suc…
cs.LG2024
Fine-tuned network relies on generic representation to solve unseen cognitive task
Dongyan Lin
Fine-tuning pretrained language models has shown promising results on a wide range of tasks, but when encountering a novel task, do they rely more on generic pretrained representat…