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The emergence of Large Language Models (LLMs) with increasingly sophisticated natural language understanding and generative capabilities has sparked interest in the Agent-based Modelling (ABM) community. With their ability to summarize,…

Visual-language models (VLM) have emerged as a powerful tool for learning a unified embedding space for vision and language. Inspired by large language models, which have demonstrated strong reasoning and multi-task capabilities, visual…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Yifan Li , Zhixin Lai , Wentao Bao , Zhen Tan , Anh Dao , Kewei Sui , Jiayi Shen , Dong Liu , Huan Liu , Yu Kong

Recent advances in Generative Artificial Intelligence, particularly Large Language Models (LLMs), have stimulated growing interest in automating or assisting Business Process Modeling tasks using natural language. Several approaches have…

Software Engineering · Computer Science 2026-04-16 João Bettencourt , Sérgio Guerreiro

Recent years have witnessed remarkable progress made in large language models (LLMs). Such advancements, while garnering significant attention, have concurrently elicited various concerns. The potential of these models is undeniably vast;…

Computation and Language · Computer Science 2023-09-27 Tianhao Shen , Renren Jin , Yufei Huang , Chuang Liu , Weilong Dong , Zishan Guo , Xinwei Wu , Yan Liu , Deyi Xiong

Large Language Models (LLMs) trained on extensive textual corpora have emerged as leading solutions for a broad array of Natural Language Processing (NLP) tasks. Despite their notable performance, these models are prone to certain…

Computation and Language · Computer Science 2023-07-25 Yufei Wang , Wanjun Zhong , Liangyou Li , Fei Mi , Xingshan Zeng , Wenyong Huang , Lifeng Shang , Xin Jiang , Qun Liu

Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential…

Artificial Intelligence · Computer Science 2024-04-10 Saikat Barua

Large language models (LLMs) can handle a wide variety of general tasks with simple prompts, without the need for task-specific training. Multimodal Large Language Models (MLLMs), built upon LLMs, have demonstrated impressive potential in…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Tao Yu , Yi-Fan Zhang , Chaoyou Fu , Junkang Wu , Jinda Lu , Kun Wang , Xingyu Lu , Yunhang Shen , Guibin Zhang , Dingjie Song , Yibo Yan , Tianlong Xu , Qingsong Wen , Zhang Zhang , Yan Huang , Liang Wang , Tieniu Tan

Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously, large language models (LLMs) have demonstrated remarkable…

Computation and Language · Computer Science 2024-02-06 Chandan Singh , Jeevana Priya Inala , Michel Galley , Rich Caruana , Jianfeng Gao

The development of Large Vision-Language Models (LVLMs) is striving to catch up with the success of Large Language Models (LLMs), yet it faces more challenges to be resolved. Very recent works enable LVLMs to localize object-level visual…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Zhipeng Huang , Zhizheng Zhang , Zheng-Jun Zha , Yan Lu , Baining Guo

Large language models (LLMs) have made significant advancements in natural language understanding. However, through that enormous semantic representation that the LLM has learnt, is it somehow possible for it to understand images as well?…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Mu Cai , Zeyi Huang , Yuheng Li , Utkarsh Ojha , Haohan Wang , Yong Jae Lee

Large Language Models (LLMs) have achieved remarkable success across a wide array of tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used as autonomous agents to do many tasks automatically. Recently,…

Computation and Language · Computer Science 2024-04-22 Taicheng Guo , Xiuying Chen , Yaqi Wang , Ruidi Chang , Shichao Pei , Nitesh V. Chawla , Olaf Wiest , Xiangliang Zhang

With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning. This has sparked significant interest in applying LLMs to…

Computation and Language · Computer Science 2023-11-06 Mingze Yuan , Peng Bao , Jiajia Yuan , Yunhao Shen , Zifan Chen , Yi Xie , Jie Zhao , Yang Chen , Li Zhang , Lin Shen , Bin Dong

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen

Large Language Models (LLMs) exhibit emerging in-context learning abilities through prompt engineering. The recent progress in large-scale generative models has further expanded their use in real-world language applications. However, the…

Computation and Language · Computer Science 2024-04-12 Linyi Yang , Shuibai Zhang , Zhuohao Yu , Guangsheng Bao , Yidong Wang , Jindong Wang , Ruochen Xu , Wei Ye , Xing Xie , Weizhu Chen , Yue Zhang

Large language models (LLMs) have revolutionized natural language processing by achieving state-of-the-art performance across various tasks. Recently, their effectiveness as embedding models has gained attention, marking a paradigm shift…

Computation and Language · Computer Science 2025-07-28 Chongyang Tao , Tao Shen , Shen Gao , Junshuo Zhang , Zhen Li , Kai Hua , Wenpeng Hu , Zhengwei Tao , Shuai Ma

Large language models (LLMs) have demonstrated impressive capabilities in natural language processing. However, their internal mechanisms are still unclear and this lack of transparency poses unwanted risks for downstream applications.…

Computation and Language · Computer Science 2023-11-30 Haiyan Zhao , Hanjie Chen , Fan Yang , Ninghao Liu , Huiqi Deng , Hengyi Cai , Shuaiqiang Wang , Dawei Yin , Mengnan Du

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

In recent years, the integration of large language models (LLMs) has revolutionized the field of robotics, enabling robots to communicate, understand, and reason with human-like proficiency. This paper explores the multifaceted impact of…

Robotics · Computer Science 2024-08-16 Yeseung Kim , Dohyun Kim , Jieun Choi , Jisang Park , Nayoung Oh , Daehyung Park

The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality.…

Recent advancements in Artificial Intelligence have led to the development of Multimodal Large Language Models (MLLMs). However, adapting these pre-trained models to dynamic data distributions and various tasks efficiently remains a…

Machine Learning · Computer Science 2025-03-05 Yukang Huo , Hao Tang