1 citations · 2 across the 5 of their papers we have counts for
6 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…
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…
Ar-Spider: Text-to-SQL in Arabic
Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim +1
In Natural Language Processing (NLP), one of the most important tasks is text-to-SQL semantic parsing, which focuses on enabling users to interact with the database in a more natur…
THOS: A Benchmark Dataset for Targeted Hate and Offensive Speech
Saad Almohaimeed, Saleh Almohaimeed, Ashfaq Ali Shafin +2
Detecting harmful content on social media, such as Twitter, is made difficult by the fact that the seemingly simple yes/no classification conceals a significant amount of complexit…