3 papers
cs.CL2025
Reasoning Isn't Enough: Examining Truth-Bias and Sycophancy in LLMs
Emilio Barkett, Olivia Long, Madhavendra Thakur
Despite their widespread use in fact-checking, moderation, and high-stakes decision-making, large language models (LLMs) remain poorly understood as judges of truth. This study pre…
cs.AI2025
The AI in the Mirror: LLM Self-Recognition in an Iterated Public Goods Game
Olivia Long, Carter Teplica
As AI agents become increasingly capable of tool use and long-horizon tasks, they have begun to be deployed in settings where multiple agents can interact. However, whereas prior w…
cs.AI2025
Getting out of the Big-Muddy: Escalation of Commitment in LLMs
Emilio Barkett, Olivia Long, Paul Kröger
Large Language Models (LLMs) are increasingly deployed in autonomous decision-making roles across high-stakes domains. However, since models are trained on human-generated data, th…