This study reviews multi-turn conversational AI across text-only dialogue, AudioLLMs and speech-native systems, multimodal and omni-modal systems, and tool-augmented agents, and concludes with a research agenda for systems that can remember, revise, ground, speak, listen, act, and adapt across turns, modalities, and cultures.
Syeda Faiza Ahmed, Zien Sheikh Ali, Hunzalah Hassan Bhatti et al.· 2 citations
An overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation is presented, covering spoken visual question answering and image-grounded hallucination detection in English and Modern Standard Arabic, and CRAI-Bench, evaluating the cultural accuracy of text-to-image generation.