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cs.AI2026
Assessing Domain-Level Susceptibility to Emergent Misalignment from Narrow Finetuning
Abhishek Mishra, Mugilan Arulvanan, Reshma Ashok +3
Emergent misalignment poses risks to AI safety as language models are increasingly used for autonomous tasks. In this paper, we present a population of large language models (LLMs)…
cs.AI2026
neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings
Arnav Ramamoorthy, Shrey Dhorajiya, Ojas Pungalia +6
Envy shapes competitiveness and cooperation in human groups, yet its role in large language model interactions remains largely unexplored. As LLMs increasingly operate in multi-age…