55 citations · 65 across the 11 of their papers we have counts for
11 papers
Enhancing Security Control Production With Generative AI
Chen Ling, Mina Ghashami, Vianne Gao +9
Security controls are mechanisms or policies designed for cloud based services to reduce risk, protect information, and ensure compliance with security regulations. The development…
Efficient Hierarchical Transformers for Representing Log Data
Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov +3
Transformers have gained widespread acclaim for their versatility in handling diverse data structures, yet their application to log data remains underexplored. Log data, characteri…
Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
Mina Ghashami, Soumya Smruti Mishra
The SemEval 2024 BRAINTEASER task challenges language models to perform lateral thinking -- a form of creative, non-linear reasoning that remains underexplored in NLP. The task com…
Low-cost Relevance Generation and Evaluation Metrics for Entity Resolution in AI
Venkat Varada, Mina Ghashami, Jitesh Mehta +2
Entity Resolution (ER) in voice assistants is a prime component during run time that resolves entities in users request to real world entities. ER involves two major functionalitie…
Efficient Frequent Directions Algorithm for Sparse Matrices
Mina Ghashami, Edo Liberty, Jeff M. Phillips
This paper describes Sparse Frequent Directions, a variant of Frequent Directions for sketching sparse matrices. It resembles the original algorithm in many ways: both receive the…
Streaming Kernel Principal Component Analysis
Mina Ghashami, Daniel Perry, Jeff M. Phillips
Kernel principal component analysis (KPCA) provides a concise set of basis vectors which capture non-linear structures within large data sets, and is a central tool in data analysi…