A curated collection of speech resources, including datasets, code, models, and more, designed to support speech processing research and development.
AI & ML interests
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Recent Activity
Papers
LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models
From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction
Models for the paper entitled: "LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models"
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
Datasets and models for our paper: "From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction"
A powerful and versatile family of Arabic Large Language Models (LLMs) designed for a wide range of tasks.
A Series of Models used for the paper entitled: "Semantic Ranking for Automated Adversarial Technique Annotation in Security Text"
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
A curated collection of speech resources, including datasets, code, models, and more, designed to support speech processing research and development.
Datasets and models for our paper: "From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction"
Models for the paper entitled: "LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models"
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"
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