1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
Galton's Law of Mediocrity: Why Large Language Models Regress to the Mean and Fail at Creativity in Advertising
Matt Keon, Aabid Karim, Bhoomika Lohana +4
Large language models (LLMs) generate fluent text yet often default to safe, generic phrasing, raising doubts about their ability to handle creativity. We formalize this tendency a…
cs.AI2025
Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?
Aabid Karim, Abdul Karim, Bhoomika Lohana +3
We demonstrate that large language models' (LLMs) mathematical reasoning is culturally sensitive: testing 14 models from Anthropic, OpenAI, Google, Meta, DeepSeek, Mistral, and Mic…