2 citations · 3 across the 3 of their papers we have counts for
4 papers
Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models
Yusuke Hirota, Michael Ross Boone, Arun George Zachariah +4
We propose a societal bias evaluation method for large vision-language models (LVLMs) in the era of strong safety guardrails. Existing benchmarks rely on prompts that ask models to…
Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation
Rajat Keshri, Arun George Zachariah, Michael Boone
Ensuring that code accurately reflects the algorithms and methods described in research papers is critical for maintaining credibility and fostering trust in AI research. This pape…
Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta, Jonathan Lorraine, Steve Masson +4
When training deep learning models, the performance depends largely on the selected hyperparameters. However, hyperparameter optimization (HPO) is often one of the most expensive p…
EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks
Shijia Liao, Shiyi Lan, Arun George Zachariah
The advent of Large Models marks a new era in machine learning, significantly outperforming smaller models by leveraging vast datasets to capture and synthesize complex patterns. D…