9 papers
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…
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…
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,…
WASIL: In-the-Wild Arabic Spoken Interactions with LLMs
Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung +3
Large Language Models (LLMs) voice assistants are commonly built as cascaded Automatic Speech recognition (ASR) to LLM systems, where recognition errors can distort user intent. Di…
MENASpeechBank: A Reference Voice Bank with Persona-Conditioned Multi-Turn Conversations for AudioLLMs
Zien Sheikh Ali, Hunzalah Hassan Bhatti, Rabindra Nath Nandi +2
Audio large language models (AudioLLMs) enable instruction following over speech and general audio, but progress is limited by the scarcity of diverse, conversational, and instruct…
Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs
Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury
Audio large language models (LLMs) enable unified speech understanding and generation, but adapting them to linguistically complex and dialect-rich settings such as Arabic-English…
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.…
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,…
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…