From the 1 of 5 linked papers with an AI index.
5 papers
Thinking Under Uncertainty: Evidence Use and Information-Seeking in Language Models
Hua-Dong Xiong, Xinyuan Yan, Ji-An Li +3
The paper investigates how large language models think under uncertainty by testing them on two-armed bandit tasks, measuring action preferences, thinking duration, and confidence,…
Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
Sixing Chen, Ji-An Li, Saner Cakir +3
Large language models (LLMs), especially reasoning models, generate extended chain-of-thought (CoT) reasoning that often contains explicit deliberation over future outcomes. Yet wh…
The Position Curse: LLMs Struggle to Locate the Last Few Items in a List
Zhanqi Zhang, Hua-Dong Xiong, Robert C. Wilson +3
Modern large language models (LLMs) can find a needle in a haystack (locating a single relevant fact buried among hundreds of thousands of irrelevant tokens) with near-saturated ac…
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
Li Ji-An, Hua-Dong Xiong, Robert C. Wilson +2
Large language models (LLMs) can sometimes report the strategies they actually use to solve tasks, yet at other times seem unable to recognize those strategies that govern their be…
Centaur: a foundation model of human cognition
Marcel Binz, Elif Akata, Matthias Bethge +37
Establishing a unified theory of cognition has been a major goal of psychology. While there have been previous attempts to instantiate such theories by building computational model…