arXiv ·
MBZUAI releases Bactrian-X, a multilingual parallel dataset of 3.4 million instruction-response pairs across 52 languages. They trained low-rank adaptation (LoRA) adapters using this dataset, creating lightweight, replaceable components for large language models. Experiments show the LoRA-based models outperform vanilla and existing instruction-tuned models in multilingual settings.
MBZUAI ·
MBZUAI researchers created Bactrian-X, a new dataset to improve LLM instruction following in low-resource languages. The dataset leverages instruction tuning, pairing instructions in various languages with expected responses. Bactrian-X builds upon existing open-source instruction tuning models. Why it matters: This work aims to democratize access to LLMs by enabling users to interact with them in their native languages, even when English proficiency is limited.
KAUST ·
KAUST's Beacon Development (KBD) is a key partner in the Heart of Arabia expedition, retracing a 750-mile journey across Saudi Arabia. The expedition aims to advance human performance understanding in extreme environments and deepen knowledge of pre-Islamic history and local biodiversity. KBD's Terrestrial Ecology and Conservation team is advising the field science component, providing equipment and expertise for data collection. Why it matters: This partnership highlights KAUST's commitment to environmental research and historical exploration, contributing to a deeper understanding of Saudi Arabia's natural and cultural heritage.
KAUST ·
KAUST's Women to Impact (WTI) initiative announced the winners of its Resilience Challenge, a global competition seeking tech-based solutions for building resilience in local ecosystems. The challenge, sponsored by SEDCO Holding, was part of KAUST's Winter Enrichment Program. First place went to AI-AMRS for their AI-based solution to antimicrobial resistance, while second and third place went to SandX/BiocharX for aridland agriculture and takeAbreath for stress management respectively. Why it matters: The challenge highlights KAUST's commitment to fostering innovation and supporting women in STEM, while addressing pressing global issues like climate change, food security, and health.
arXiv ·
MBZUAI introduces Agent-X, a benchmark for evaluating multi-step reasoning in vision-centric agents across real-world, multimodal settings. Agent-X includes 828 tasks with diverse visual contexts and spans six environments, requiring tool use and stepwise decision-making. Experiments show that current LLMs struggle with multi-step vision tasks, achieving less than 50% success, highlighting areas for improvement in LMM reasoning and tool use.
KAUST ·
KAUST alumna Dr. Hanin Ahmed has been awarded a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship to research the biological traits, ancestry, and symbolic roles of horses used in ancient rituals. She will analyze DNA samples from 97 sites across France, linking biology with ritual behavior. Ahmed previously held an Ibn Rushd Fellowship from KAUST, which supported her move to the University of Toulouse. Why it matters: This prestigious fellowship highlights the quality of research and training at KAUST while enabling exploration of the co-evolution of humans and animals through genomics and archaeology.