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The emergence of Large Language Models (LLMs) has transformed information access, with current LLMs also powering deep research systems that can generate comprehensive report-style answers, through planned iterative search, retrieval, and…

Computation and Language · Computer Science 2025-06-18 Bruno Martins , Piotr Szymański , Piotr Gramacki

The autonomous decision-making process, which is increasingly applied to computer systems, requires that the choices made by these systems align with human values. In this context, systems must assess how well their decisions reflect human…

Computers and Society · Computer Science 2025-12-19 Eduardo de la Cruz Fernández , Marcelo Karanik , Sascha Ossowski

Simultaneous localization and mapping (SLAM) is a critical technology that enables autonomous robots to be aware of their surrounding environment. With the development of deep learning, SLAM systems can achieve a higher level of perception…

We present a framework for the automated measurement of responsible AI (RAI) metrics for large language models (LLMs) and associated products and services. Our framework for automatically measuring harms from LLMs builds on existing…

Large language models (LLMs) and large multimodal models (LMMs) have achieved unprecedented breakthrough, showcasing remarkable capabilities in natural language understanding, generation, and complex reasoning. This transformative potential…

Machine Learning · Computer Science 2025-10-24 Hyun Jong Yang , Hyunsoo Kim , Hyeonho Noh , Seungnyun Kim , Byonghyo Shim

Recent advancements in Generative AI, particularly in Large Language Models (LLMs) and Large Vision-Language Models (LVLMs), offer new possibilities for integrating cognitive planning into robotic systems. In this work, we present a novel…

Robotics · Computer Science 2024-11-06 Arjun P S , Andrew Melnik , Gora Chand Nandi

Recent advancements in generative artificial intelligence (AI) have demonstrated its substantial potential in various fields. However, its application in port logistics remains underexplored. Ports are complex operational environments where…

Computational Engineering, Finance, and Science · Computer Science 2026-02-25 Minseop Kim , Jaeeun Kwon , Hanbyeol Park , Kikun Park , Taekhyun Park , Hyerim Bae

Large language models(LLMs), with their powerful language generation and reasoning capabilities, have already achieved notable success in many domains, e.g., math and code generation. However, they often fall short when tackling real-life…

Artificial Intelligence · Computer Science 2025-06-03 Jie Feng , Tianhui Liu , Yuwei Du , Siqi Guo , Yuming Lin , Yong Li

Large language models (LLMs) have attracted considerable attention as they are capable of showcasing impressive capabilities generating comparable high-quality responses to human inputs. LLMs, can not only compose textual scripts such as…

Computational Engineering, Finance, and Science · Computer Science 2024-05-31 Denish Omondi Otieno , Faranak Abri , Sima Siami-Namini , Akbar Siami Namin

ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing (NLP) and has pushed the boundaries of LLM capabilities.…

Computation and Language · Computer Science 2023-07-18 Salman Mohamadi , Ghulam Mujtaba , Ngan Le , Gianfranco Doretto , Donald A. Adjeroh

Geospatial data analysis plays a crucial role in tackling intricate societal challenges such as urban planning and climate modeling. However, employing tools like GeoPandas, a prominent Python library for geospatial data manipulation,…

Human-Computer Interaction · Computer Science 2025-06-16 Gaspard Merten , Gilles Dejaegere , Mahmoud Sakr

Inspired by the recent success of large language models (LLMs) like ChatGPT, researchers start to explore the adoption of LLMs for agile hardware design, such as generating design RTL based on natural-language instructions. However, in…

Machine Learning · Computer Science 2023-11-14 Yao Lu , Shang Liu , Qijun Zhang , Zhiyao Xie

Large Language Models (LLMs) have showcased remarkable proficiency in various information-processing tasks. These tasks span from extracting data and summarizing literature to generating content, predictive modeling, decision-making, and…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Sonda Fourati , Wael Jaafar , Noura Baccar , Safwan Alfattani

Geospatial code generation is emerging as a key direction in the integration of artificial intelligence and geoscientific analysis. However, there remains a lack of standardized tools for automatic evaluation in this domain. To address this…

Software Engineering · Computer Science 2025-05-20 Shuyang Hou , Zhangxiao Shen , Huayi Wu , Jianyuan Liang , Haoyue Jiao , Yaxian Qing , Xiaopu Zhang , Xu Li , Zhipeng Gui , Xuefeng Guan , Longgang Xiang

We demonstrate experimental results with LLMs that address robotics task planning problems. Recently, LLMs have been applied in robotics task planning, particularly using a code generation approach that converts complex high-level…

Robotics · Computer Science 2024-04-09 Yusuke Mikami , Andrew Melnik , Jun Miura , Ville Hautamäki

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

This paper reviews the architecture and implementation methods of agents powered by large language models (LLMs). Motivated by the limitations of traditional LLMs in real-world tasks, the research aims to explore patterns to develop…

Artificial Intelligence · Computer Science 2025-10-13 Victor de Lamo Castrillo , Habtom Kahsay Gidey , Alexander Lenz , Alois Knoll

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

In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However, the computational intensity and memory consumption of…

Machine Learning · Computer Science 2025-07-24 Xupeng Miao , Gabriele Oliaro , Zhihao Zhang , Xinhao Cheng , Hongyi Jin , Tianqi Chen , Zhihao Jia

Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of the ChatGPT. Many believe that they have the potential…

Software Engineering · Computer Science 2024-02-22 Wei Wang , Huilong Ning , Gaowei Zhang , Libo Liu , Yi Wang