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cs.AI2026
Reality Monitoring in Large Language Models: Self-Knowledge That Transforms with Conversation Memory
Saurabh Ranjan, Konstantina Sokratous, Brian Odegaard
A conversational AI that cannot tell its own output from what a user said will treat its own mistakes as user-provided facts. In humans, this capacity is called reality monitoring,…
cs.AI2026
Some Large Language Models Exhibit Consistent Risk Attitudes
Bowen Sun, Rui Min, Yuxi Wang +3
As artificial intelligence systems are deployed in open-ended, high-stakes settings, a critical dimension remains unmeasured: how perceived risk is translated into action. We test…
cs.AI2025
Psychological Imagination Networks Show Cross-Population Centrality and Clustering Alignment in Humans That Large Language Models Fail to Replicate
Saurabh Ranjan, Brian Odegaard
Mental imagery vividness is a stable individual trait, yet whether imagined scenarios share relational structure across human and synthetic large language model (LLM) populations r…