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Large language models (LLMs), such as ChatGPT/GPT-4, have proven to be powerful tools in promoting the user experience as an AI assistant. The continuous works are proposing multi-modal large language models (MLLM), empowering LLMs with the…

Computation and Language · Computer Science 2023-10-23 Ziqiang Zheng , Jipeng Zhang , Tuan-Anh Vu , Shizhe Diao , Yue Him Wong Tim , Sai-Kit Yeung

Existing navigation decision support systems often perform poorly when handling non-predefined navigation scenarios. Leveraging the generalization capabilities of large language model (LLM) in handling unknown scenarios, this research…

Artificial Intelligence · Computer Science 2025-02-25 Feng Ma , Xiu-min Wang , Chen Chen , Xiao-bin Xu , Xin-ping Yan

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

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

Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence. While general artificial intelligence is leveraged by…

Computation and Language · Computer Science 2023-10-31 Yizhe Yang , Huashan Sun , Jiawei Li , Runheng Liu , Yinghao Li , Yuhang Liu , Heyan Huang , Yang Gao

Large Language Models (LLMs) have demonstrated remarkable success as general-purpose task solvers across various fields. However, their capabilities remain limited when addressing domain-specific problems, particularly in downstream NLP…

Computation and Language · Computer Science 2025-02-28 Mohamed Bayan Kmainasi , Ali Ezzat Shahroor , Maram Hasanain , Sahinur Rahman Laskar , Naeemul Hassan , Firoj Alam

In recent years, the field of indoor navigation has witnessed groundbreaking advancements through the integration of Large Language Models (LLMs). Traditional navigation approaches relying on pre-built maps or reinforcement learning exhibit…

Robotics · Computer Science 2025-04-23 Anlong Zhang , Jianmin Ji

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

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

Computation and Language · Computer Science 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang

Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many open-source LLMs have been released with technical reports,…

Large language models (LLMs) exhibit remarkable capabilities across diverse tasks, yet aligning them efficiently and effectively with human expectations remains a critical challenge. This thesis advances LLM alignment by introducing novel…

Computation and Language · Computer Science 2025-06-12 Yuxin Jiang

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

In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potential in a variety of practical applications. The application of…

Artificial Intelligence · Computer Science 2025-04-24 Jinzhou Lin , Han Gao , Xuxiang Feng , Rongtao Xu , Changwei Wang , Man Zhang , Li Guo , Shibiao Xu

The maritime industry requires effective communication among diverse stakeholders to address complex, safety-critical challenges. Industrial AI, including Large Language Models (LLMs), has the potential to augment human experts' workflows…

Human-Computer Interaction · Computer Science 2026-03-13 Tita Alissa Bach , Aleksandar Babic , Narae Park , Tor Sporsem , Rasmus Ulfsnes , Henrik Smith-Meyer , Torkel Skeie

Large Language Models (LLMs) have exhibited remarkable capabilities in understanding and interacting with natural language across various sectors. However, their effectiveness is limited in specialized areas requiring high accuracy, such as…

Computation and Language · Computer Science 2024-01-04 Xianjun Yang , Junfeng Gao , Wenxin Xue , Erik Alexandersson

Large language models (LLMs) are rapidly transforming materials science. This review examines recent LLM applications across the materials discovery pipeline, focusing on three key areas: mining scientific literature , predictive modelling,…

Computation and Language · Computer Science 2025-11-17 Fengxu Yang , Weitong Chen , Jack D. Evans

Large language models (LLMs) have achieved remarkable success in general-domain tasks, yet their direct application to the legal domain remains challenging due to hallucinated legal citations, incomplete knowledge coverage, and weak…

Computation and Language · Computer Science 2026-04-21 Yuting Huang , Yinghao Hu , Qian Xiao , Wenlin Zhong , Yiquan Wu , Taishi Zhou , Moke Chen , Changlong Sun , Kun Kuang , Fei Wu

Large Language Model (LLM)-based agents demonstrate advanced reasoning capabilities, yet practical constraints frequently limit outputs to single responses, leaving significant performance potential unrealized. This paper introduces MARINE…

Multiagent Systems · Computer Science 2025-12-10 Hongwei Zhang , Ji Lu , Yongsheng Du , Yanqin Gao , Lingjun Huang , Baoli Wang , Fang Tan , Peng Zou

Large language models (LLMs) have recently shown strong reasoning capabilities beyond traditional language tasks, motivating their use for numerical optimization. This paper presents LLMize, an open-source Python framework that enables…

Machine Learning · Computer Science 2026-01-06 M. Rizki Oktavian

Navigation is one of the fundamental tasks for automated exploration in Virtual Reality (VR). Existing technologies primarily focus on path optimization in 360-degree image datasets and 3D simulators, which cannot be directly applied to…

Software Engineering · Computer Science 2026-01-07 Xue Qin , Matthew DiGiovanni
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