1 citations · 1 across the 1 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.CL2023
Multi-stage Large Language Model Correction for Speech Recognition
Jie Pu, Thai-Son Nguyen, Sebastian Stüker
In this paper, we investigate the usage of large language models (LLMs) to improve the performance of competitive speech recognition systems. Different from previous LLM-based ASR…