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Exploring the reasoning abilities of multimodal large language models (mllms): A comprehensive survey on emerging trends in multimodal reasoning
Strong Artificial Intelligence (Strong AI) or Artificial General Intelligence (AGI) with abstract
reasoning ability is the goal of next-generation AI. Recent advancements in Large Language …
reasoning ability is the goal of next-generation AI. Recent advancements in Large Language …
Mminstruct: A high-quality multi-modal instruction tuning dataset with extensive diversity
Despite the effectiveness of vision-language supervised fine-tuning in enhancing the
performance of vision large language models (VLLMs), existing visual instruction tuning …
performance of vision large language models (VLLMs), existing visual instruction tuning …
Investigating and mitigating the multimodal hallucination snowballing in large vision-language models
Though advanced in understanding visual information with human languages, Large Vision-
Language Models (LVLMs) still suffer from multimodal hallucinations. A natural concern is …
Language Models (LVLMs) still suffer from multimodal hallucinations. A natural concern is …
Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems
S Sun, S Zhu - arxiv preprint arxiv:2405.11629, 2024 - arxiv.org
Numerous studies on adversarial attacks targeting self-driving policies fail to incorporate
realistic-looking adversarial objects, limiting real-world applicability. Building upon prior …
realistic-looking adversarial objects, limiting real-world applicability. Building upon prior …
Fine Tuning Idefic 9b With LORA for Multimodal Medical VQA
S Punneshetty, S Ashok… - 2024 International …, 2024 - ieeexplore.ieee.org
We introduce an innovative approach to Medical Visual Question Answering (VQA) by fine-
tuning the Idefic 9b model on a combined dataset from SLAKE and VQARAD. Our …
tuning the Idefic 9b model on a combined dataset from SLAKE and VQARAD. Our …