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Large language models (LLMs) have demonstrated unparalleled prowess in mimicking human-like text generation and processing. Among the myriad of applications that benefit from LLMs, automated code generation is increasingly promising. The…

Software Engineering · Computer Science 2023-11-15 Lincoln Murr , Morgan Grainger , David Gao

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…

Large Language Models (LLMs) have emerged as powerful tools for tackling a wide range of problems, including those in scientific computing, particularly in solving partial differential equations (PDEs). However, different models exhibit…

Machine Learning · Computer Science 2025-03-11 Qile Jiang , Zhiwei Gao , George Em Karniadakis

The integration of advanced Natural Language Processing (NLP) methodologies and Large Language Models (LLMs) has significantly enhanced the extraction and analysis of geospatial data from multilingual texts, impacting sectors such as…

Computation and Language · Computer Science 2024-12-31 Kalin Kopanov

Large language models (LLMs) have achieved remarkable success across a wide spectrum of tasks; however, they still face limitations in scenarios that demand long-term planning and spatial reasoning. To facilitate this line of research, in…

Computation and Language · Computer Science 2025-02-25 Mohamed Aghzal , Erion Plaku , Ziyu Yao

With the emergence of large language models (LLMs), investigating if they can surpass humans in areas such as emotion recognition and empathetic responding has become a focal point of research. This paper presents a comprehensive study…

Computation and Language · Computer Science 2024-06-10 Anuradha Welivita , Pearl Pu

This paper investigates the performance of 16 Large Language Models (LLMs) in automating LoRaWAN-related engineering tasks involving optimal placement of drones and received power calculation under progressively complex zero-shot, natural…

Software Engineering · Computer Science 2025-04-09 Daniel Fernandes , João P. Matos-Carvalho , Carlos M. Fernandes , Nuno Fachada

Large Language Models (LLMs) have gained attention for addressing coding problems, but their effectiveness in fixing code maintainability remains unclear. This study evaluates LLMs capability to resolve 127 maintainability issues from 10…

Software Engineering · Computer Science 2025-02-05 Henrique Nunes , Eduardo Figueiredo , Larissa Rocha , Sarah Nadi , Fischer Ferreira , Geanderson Esteves

Large Language Models (LLMs) such as ChatGPT, Claude, and Gemini increasingly act as general-purpose copilots, yet they often respond with unnecessary length on simple requests, adding redundant explanations, hedging, or boilerplate that…

Machine Learning · Computer Science 2026-01-05 Vadim Borisov , Michael Gröger , Mina Mikhael , Richard H. Schreiber

The new polymath Large Language Models (LLMs) can speed-up greatly scientific reviews, possibly using more unbiased quantitative metrics, facilitating cross-disciplinary connections, and identifying emerging trends and research gaps by…

Computation and Language · Computer Science 2023-12-08 Chenxi Wu , Alan John Varghese , Vivek Oommen , George Em Karniadakis

Understanding the limitations of Large Language Models, or LLMs, in mathematical reasoning has been the focus of several recent studies. However, the majority of these studies use the same datasets for benchmarking, which limits the…

Artificial Intelligence · Computer Science 2026-01-01 Samuel Golladay , Majid Bani-Yaghoub

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

Large language models (LLMs) such as OpenAI's ChatGPT hold potential for automating engineering analysis, yet their reliability in solving multi-step statics problems remains uncertain. This study evaluates the performance of ChatGPT-4o and…

Computational Engineering, Finance, and Science · Computer Science 2025-02-04 Benjamin Hope , Jayden Bracey , Sahar Choukir , Derek Warner

This study investigates the potential of a multimodal large language model (LLM), specifically ChatGPT-4o, to perform human-like interpretations of traffic scenes using static dashcam images. Herein, we focus on three judgment tasks…

Computer Vision and Pattern Recognition · Computer Science 2025-07-14 Yuki Yoshihara , Linjing Jiang , Nihan Karatas , Hitoshi Kanamori , Asuka Harada , Takahiro Tanaka

The task of image captioning demands an algorithm to generate natural language descriptions of visual inputs. Recent advancements have seen a convergence between image captioning research and the development of Large Language Models (LLMs)…

Computer Vision and Pattern Recognition · Computer Science 2024-12-06 Davide Bucciarelli , Nicholas Moratelli , Marcella Cornia , Lorenzo Baraldi , Rita Cucchiara

Large Language Models (LLMs) are becoming increasingly competent across various domains, educators are showing a growing interest in integrating these LLMs into the learning process. Especially in software engineering, LLMs have…

Software Engineering · Computer Science 2025-02-04 Agrawal Naman , Ridwan Shariffdeen , Guanlin Wang , Sanka Rasnayaka , Ganesh Neelakanta Iyer

This study quantifies how prompting strategies interact with large language models (LLMs) to automate the screening stage of systematic literature reviews (SLRs). We evaluate six LLMs (GPT-4o, GPT-4o-mini, DeepSeek-Chat-V3,…

Computation and Language · Computer Science 2025-10-21 Binglan Han , Anuradha Mathrani , Teo Susnjak

This work introduces LAB (Large-scale Alignment for chatBots), a novel methodology designed to overcome the scalability challenges in the instruction-tuning phase of large language model (LLM) training. Leveraging a taxonomy-guided…

Computation and Language · Computer Science 2024-05-01 Shivchander Sudalairaj , Abhishek Bhandwaldar , Aldo Pareja , Kai Xu , David D. Cox , Akash Srivastava

Large Language Models (LLMs) such as GPT developed by OpenAI, have already shown astonishing results, introducing quick changes in our society. This has been intensified by the release of ChatGPT which allows anyone to interact in a simple…

Computer Vision and Pattern Recognition · Computer Science 2024-02-28 Ivan DeAndres-Tame , Ruben Tolosana , Ruben Vera-Rodriguez , Aythami Morales , Julian Fierrez , Javier Ortega-Garcia

Recent efforts have evaluated large language models (LLMs) in areas such as commonsense reasoning, mathematical reasoning, and code generation. However, to the best of our knowledge, no work has specifically investigated the performance of…

Computation and Language · Computer Science 2024-05-17 Xuanfan Ni , Piji Li