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Large language models (LLMs) have demonstrated a powerful ability to answer various queries as a general-purpose assistant. The continuous multi-modal large language models (MLLM) empower LLMs with the ability to perceive visual signals.…

Computation and Language · Computer Science 2024-01-05 Ziqiang Zheng , Yiwei Chen , Jipeng Zhang , Tuan-Anh Vu , Huimin Zeng , Yue Him Wong Tim , Sai-Kit Yeung

Ocean science, which delves into the oceans that are reservoirs of life and biodiversity, is of great significance given that oceans cover over 70% of our planet's surface. Recently, advances in Large Language Models (LLMs) have transformed…

Computation and Language · Computer Science 2024-09-04 Zhen Bi , Ningyu Zhang , Yida Xue , Yixin Ou , Daxiong Ji , Guozhou Zheng , Huajun Chen

We have witnessed promising progress led by large language models (LLMs) and further vision language models (VLMs) in handling various queries as a general-purpose assistant. VLMs, as a bridge to connect the visual world and language…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 YuK-Kwan Wong , Tuan-An To , Jipeng Zhang , Ziqiang Zheng , Sai-Kit Yeung

Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a trend underscores the potential of LLMs to generalize…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Gengze Zhou , Yicong Hong , Zun Wang , Xin Eric Wang , Qi Wu

Trained with an unprecedented scale of data, large language models (LLMs) like ChatGPT and GPT-4 exhibit the emergence of significant reasoning abilities from model scaling. Such a trend underscored the potential of training LLMs with…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 Gengze Zhou , Yicong Hong , Qi Wu

Multi-modal large language models (MLLMs) have demonstrated remarkable success in vision and visual-language tasks within the natural image domain. Owing to the significant diversities between the natural and remote sensing (RS) images, the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-11 Wei Zhang , Miaoxin Cai , Tong Zhang , Yin Zhuang , Xuerui Mao

Multimodal large language models (MLLMs) have shown remarkable performance in vision-language tasks. However, existing MLLMs are primarily trained on generic datasets, limiting their ability to reason on domain-specific visual cues such as…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Hatef Otroshi Shahreza , Sébastien Marcel

Large language models (LLMs) have demonstrated significant capabilities in mathematical reasoning, particularly with text-based mathematical problems. However, current multi-modal large language models (MLLMs), especially those specialized…

Computation and Language · Computer Science 2024-12-03 Zhen Yang , Jinhao Chen , Zhengxiao Du , Wenmeng Yu , Weihan Wang , Wenyi Hong , Zhihuan Jiang , Bin Xu , Jie Tang

Large language models have emerged as a promising approach towards achieving general-purpose AI agents. The thriving open-source LLM community has greatly accelerated the development of agents that support human-machine dialogue interaction…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Zhenfei Yin , Jiong Wang , Jianjian Cao , Zhelun Shi , Dingning Liu , Mukai Li , Lu Sheng , Lei Bai , Xiaoshui Huang , Zhiyong Wang , Jing Shao , Wanli Ouyang

Conversation agents fueled by Large Language Models (LLMs) are providing a new way to interact with visual data. While there have been initial attempts for image-based conversation models, this work addresses the under-explored field of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-11 Muhammad Maaz , Hanoona Rasheed , Salman Khan , Fahad Shahbaz Khan

With the emergence of large language models (LLMs) and vision foundation models, how to combine the intelligence and capacity of these open-sourced or API-available models to achieve open-world visual perception remains an open question. In…

Computer Vision and Pattern Recognition · Computer Science 2024-03-15 Chris Kelly , Luhui Hu , Bang Yang , Yu Tian , Deshun Yang , Cindy Yang , Zaoshan Huang , Zihao Li , Jiayin Hu , Yuexian Zou

The advent of ChatGPT and GPT-4 has captivated the world with large language models (LLMs), demonstrating exceptional performance in question-answering, summarization, and content generation. The aviation industry is characterized by an…

Computation and Language · Computer Science 2023-11-30 Liya Wang , Jason Chou , Xin Zhou , Alex Tien , Diane M Baumgartner

Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have attracted widespread attention for their exceptional capabilities in understanding, reasoning, and generation,…

Computation and Language · Computer Science 2024-12-31 Hanguang Xiao , Feizhong Zhou , Xingyue Liu , Tianqi Liu , Zhipeng Li , Xin Liu , Xiaoxuan Huang

Multimodal large language models (MLLMs) have demonstrated impressive cross-domain capabilities, yet their proficiency in specialized scientific fields like marine biology remains underexplored. In this work, we systematically evaluate…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Faizan Farooq Khan , Yousef Radwan , Eslam Abdelrahman , Abdulwahab Felemban , Aymen Mir , Nico K. Michiels , Andrew J. Temple , Michael L. Berumen , Mohamed Elhoseiny

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

Since the release of ChatGPT, the field of Natural Language Processing has experienced rapid advancements, particularly in Large Language Models (LLMs) and their multimodal counterparts, Large Multimodal Models (LMMs). Despite their…

Computation and Language · Computer Science 2024-08-27 Florian Schneider , Sunayana Sitaram

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

Quantitative Methods · Quantitative Biology 2024-02-22 Hengchuang Yin , Zhonghui Gu , Fanhao Wang , Yiparemu Abuduhaibaier , Yanqiao Zhu , Xinming Tu , Xian-Sheng Hua , Xiao Luo , Yizhou Sun

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

Machine Learning · Computer Science 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang

Recently, Multimodal Large Language Models (MLLMs) have gained significant attention for their remarkable ability to process and analyze non-textual data, such as images, videos, and audio. Notably, several adaptations of general-domain…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Wenhui Zhu , Xin Li , Xiwen Chen , Peijie Qiu , Vamsi Krishna Vasa , Xuanzhao Dong , Yanxi Chen , Natasha Lepore , Oana Dumitrascu , Yi Su , Yalin Wang
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