A powerful and versatile family of Arabic Large Language Models (LLMs) designed for a wide range of tasks.
AI & ML interests
None defined yet.
Recent Activity
A Series of Models used for the paper entitled: "Semantic Ranking for Automated Adversarial Technique Annotation in Security Text"
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QCRI/SentSecBert_10k
Sentence Similarity • Updated • 159 • 2 -
QCRI/SentSecBert_10k_AllDataSplit
Sentence Similarity • Updated • 40 -
QCRI/monot5_AllDataSplit
Sentence Similarity • Updated • 18 -
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text
Paper • 2403.17068 • Published
This collection contains resources and a specialized family of models for analyzing news and social media content in a multilingual context.
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
MultimodalXplain is a collection of resources and tools focused on the explanation and interpretation of text, speech and multimodal AI models.
Material for our paper entitled: "TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text"
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
A powerful and versatile family of Arabic Large Language Models (LLMs) designed for a wide range of tasks.
MultimodalXplain is a collection of resources and tools focused on the explanation and interpretation of text, speech and multimodal AI models.
A Series of Models used for the paper entitled: "Semantic Ranking for Automated Adversarial Technique Annotation in Security Text"
-
QCRI/SentSecBert_10k
Sentence Similarity • Updated • 159 • 2 -
QCRI/SentSecBert_10k_AllDataSplit
Sentence Similarity • Updated • 40 -
QCRI/monot5_AllDataSplit
Sentence Similarity • Updated • 18 -
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text
Paper • 2403.17068 • Published
Material for our paper entitled: "TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text"
This collection contains resources and a specialized family of models for analyzing news and social media content in a multilingual context.
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs