1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis
An Vuong, Susan Gauch
Accurately predicting short-term stock price movement remains a challenging task due to the market's inherent volatility and sensitivity to investor sentiment. This paper discusses…
cs.LG2025
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching
An B. Vuong, Michael T. McCann, Javier E. Santos +1
Diffusion models are commonly interpreted as learning the score function, i.e., the gradient of the log-density of noisy data. However, this assumption implies that the target of l…
cs.CL2024★ 1 cited
Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis
Sahas Koka, Anthony Vuong, Anish Kataria
In an era increasingly influenced by artificial intelligence, the detection of fake news is crucial, especially in contexts like election seasons where misinformation can have sign…