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Mohammed Irfan Kurpath

4 accepted papers

2025

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model

EMNLP 2025

Large multimodal models (LMMs) have recently gained attention due to their effectiveness to understand and generate descriptions of visual content. Most existing LMMs are in English language. While few recent works explore multilingual image LMMs, to the best of our knowledge, moving beyond the Engl

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2025

BiMediX2 : Bio-Medical EXpert LMM for Diverse Medical Modalities

EMNLP 2025

We introduce BiMediX2, a bilingual (Arabic-English) Bio-Medical EXpert Large Multimodal Model that supports text-based and image-based medical interactions. It enables multi-turn conversation in Arabic and English and supports diverse medical imaging modalities, including radiology, CT, and histolog

2025

LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM

ACL 2025finding

Recent advancements in speech-to-speech dialogue systems leverage LLMs for multimodal interactions, yet they remain hindered by fine-tuning requirements, high computational overhead, and text-speech misalignment. Existing speech-enabled LLMs often degrade conversational quality by modifying the LLM,…

2025

MAviS: A Multimodal Conversational Assistant For Avian Species

EMNLP 2025

Fine-grained understanding and species-specific, multimodal question answering are vital for advancing biodiversity conservation and ecological monitoring. However, existing multimodal large language models (MM-LLMs) face challenges when it comes to specialized topics like avian species, making it h