Saad Ezzini

OBSIDIAN: An OSINT-Driven NLP Framework for Detecting Cyber-Physical Threats in Arabic Social Media

DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task

Sentiment analysis is a fundamental problem in Natural Language Processing (NLP). Standard sentiment classification for the Arabic language remains challenging due to the high volume of dialectal Arabic. To advance research in this area, this paper proposes the Shared Task on Sentiment Analysis and Swapping in Arabic D...

Halluscoring 2026: The first shared task on llms hallucination detection and answer verification

The shared task is a shared task for evaluating hallucination detection and factual verification in Arabic question answering under challenging generalization settings, based on two Arabic datasets: HalluScore and HalluTruthQA.

Judging the LLM Judges: A Human-Centric Validation of LLM-Generated Training Data for Software Retrieval

A lightweight quality-assessment protocol is presented for LLM-generated synthetic training data and applied to 13,579 synthetic user reviews generated from GitHub issues across four open-source Android applications, high-lighting the need for hybrid human-AI verification when synthetic data is used in security-critica...

AraGenre 2026: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task

AraGenre is a shared task on hierarchical, definition-guided Arabic genre classification, motivated by the limited availability of annotated data in Arabic and other low-resource languages. Systems assign each Arabic text segment both a broad communicative genre and a fine-grained specific genre. The released training...

LLM-Storyteller: child-guided narrative co-creation via real-time adaptive prompting and visualization with an embodied robot

Interactive storytelling has shown great potential in supporting children’s creativity. However, existing robotic storytelling systems mostly treat the robot as the primary author or lack the ability to adapt to a child’s interaction state in real time. In this paper, we present LLM-Storyteller, an embodied robotic sys...

AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation

Dialectal Arabic machine translation (MT) remains challenging despite recent progress in Arabic language technologies, particularly because effective translation requires modeling not only semantic content but also dialectal variation, conversational context, speaker and addressee characteristics, and sociolinguistic a...

Mawqif-XT: An Arabic Benchmark Dataset for Cross-Target Stance Detection

This paper presents the Mawqif-XT, consisting of 996 manually annotated Arabic tweets collected from three public targets: Women Driving, E-Cars, and Trimester System, which provides a benchmark for evaluating cross-target generalization in Arabic stance detection.

Bulbul: A Dataset for Dialectal Arabic Speech Recognition

BUL, a multi-dialect Arabic ASR dataset collected from 275 speakers in 11 Arab countries, includes structured dialect and sub-dialect coverage, as well as recordings of classical Arabic and modern standard Arabic spoken by participants in their native dialectal accents to support accent-aware modeling.

L\"etzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish Documents

This work introduces L\"etzCross, a benchmark for cross-lingual page-level retrieval over Luxembourgish PDF documents, with document pages indexed as images and queries provided in English, French, German, and Luxembourgish, and examines single-language and multilingual fine-tuning.

RAG-Based Auto-Configuration for Industrial Fieldbus Devices

SysName, a production-oriented pipeline that automates device configuration end-to-end for Modbus RTU, OPC-UA, Profibus DP, and CANopen, builds a hybrid dense-sparse retrieval index augmented by an ontology graph derived from ECLASS, AAS, and SOSA/SSN, using a BGE-M3 encoder with a cross-encoder reranker to surface rel...