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cs.CL2026

Aslema at NADI 2026: Data Augmentation for Intent Recognition and Slot Filling

Tajwaar Shafiq, Hunzalah Hassan Bhatti, Firoj Alam +1

We present Aslema, our system for NADI 2026 Shared Task 5, which consists of two subtasks: intent recognition and slot filling. We evaluate four omni LLMs in a zero-shot setting an…

cs.CL2026

ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation

Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti +11

We present an overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation. It includes two tasks: (i) AynVQA, covering spoken visual question ans…

cs.CL2026

Multi-turn Conversational AI from Text to Multimodal Interaction: Data, Models, Evaluation, and Open Challenges

Syeda Faiza Ahmed, Syeda Faiza Ahmed Sara, Zien Sheikh Ali +3

Conversational AI is moving beyond isolated text prompts toward sustained, multimodal interaction. In real conversations, users clarify goals, revise requests, interrupt responses,…

cs.CL2025

Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants

Hunzalah Hassan Bhatti, Firoj Alam

Large Language Models (LLMs) are increasingly used to answer everyday questions, yet their performance on culturally grounded and dialectal content remains uneven across languages.…

cs.CL2025

OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA

Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan +8

Large-scale multimodal models achieve strong results on tasks like Visual Question Answering (VQA), but they are often limited when queries require cultural and visual information,…

cs.CL2025

CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation

Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan +1

In this paper, we report our participation to the PalmX cultural evaluation shared task. Our system, CultranAI, focused on data augmentation and LoRA fine-tuning of large language…