1 citations · 2 across the 6 of their papers we have counts for
8 papers
Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs
Saleh Almohaimeed, Saad Almohaimeed, Mousa Jari +3
Retrieval-Augmented Generation (RAG) is widely used to improve the performance of Large Language Models (LLMs) in answering user queries. Existing privacy research on RAG has focus…
Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic
Saleh Almohaimeed, May Alsofyani, Saad Almohaimeed +2
In recent years, the task of cross-domain, context-dependent text-to-SQL has received significant attention. Enables users with no prior knowledge of SQL to have a conversation wit…
Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection
Saad Almohaimeed, Saleh Almohaimeed, Damla Turgut +1
Implicit hate speech has recently emerged as a critical challenge for social media platforms. While much of the research has traditionally focused on harmful speech in general, the…
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models
Shenyang Liu, Saleh Almohaimeed, Liqiang Wang
The existing Text-to-SQL models suffer from a shortage of training data, inhibiting their ability to fully facilitate the applications of SQL queries in new domains. To address thi…
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Saleh Almohaimeed, Shenyang Liu, May Alsofyani +2
In the domain of semantic parsing, significant progress has been achieved in Text-to-SQL and question-answering tasks, both of which focus on extracting information from data sourc…
Jailbreaking LLMs with Arabic Transliteration and Arabizi
Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng +2
This study identifies the potential vulnerabilities of Large Language Models (LLMs) to 'jailbreak' attacks, specifically focusing on the Arabic language and its various forms. Whil…