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cs.LG2026
TabSHAP
Aryan Chaudhary, Prateek Agarwal, Tejasvi Alladi
Large Language Models (LLMs) fine-tuned on serialized tabular data are emerging as powerful alternatives to traditional tree-based models, particularly for heterogeneous or context…
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…