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With the release of ChatGPT and other large language models (LLMs) the discussion about the intelligence, possibilities, and risks, of current and future models have seen large attention. This discussion included much debated scenarios…

人工智能 · 计算机科学 2024-07-31 Nils Körber , Silvan Wehrli , Christopher Irrgang

Large Language Models (LLMs) have emerged as powerful support tools across various natural language tasks and a range of application domains. Recent studies focus on exploring their capabilities for data annotation. This paper provides a…

计算与语言 · 计算机科学 2025-07-01 Maja Pavlovic , Massimo Poesio

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown the capability of generating human-like conversation on…

Large language models (LLMs) like GPT-4 show potential for scaling motivational interviewing (MI) in addiction care, but require systematic evaluation of therapeutic capabilities. We present a computational framework assessing…

计算与语言 · 计算机科学 2025-05-26 Yinghui Huang , Yuxuan Jiang , Hui Liu , Yixin Cai , Weiqing Li , Xiangen Hu

Recent advances in the performance of large language models (LLMs) have sparked debate over whether, given sufficient training, high-level human abilities emerge in such generic forms of artificial intelligence (AI). Despite the exceptional…

计算与语言 · 计算机科学 2024-01-18 Nicholas Ichien , Dušan Stamenković , Keith J. Holyoak

Artificial intelligence (AI) tools based on large language models have acheived human-level performance on some computer programming tasks. We report several experiments using GPT-4 to generate computer code. These experiments demonstrate…

人工智能 · 计算机科学 2023-04-27 Russell A Poldrack , Thomas Lu , Gašper Beguš

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.…

计算与语言 · 计算机科学 2024-01-05 Ziqiang Zheng , Yiwei Chen , Jipeng Zhang , Tuan-Anh Vu , Huimin Zeng , Yue Him Wong Tim , Sai-Kit Yeung

Large Language Models (LLMs) excel in various Natural Language Processing (NLP) tasks, yet their evaluation, particularly in languages beyond the top $20$, remains inadequate due to existing benchmarks and metrics limitations. Employing…

The rapid advancement of large language models, such as the Generative Pre-trained Transformer (GPT) series, has had significant implications across various disciplines. In this study, we investigate the potential of the state-of-the-art…

计算与语言 · 计算机科学 2023-09-06 Yunhao Yang , Anshul Tomar

With the increasing impacts of climate change, there is a growing demand for accessible tools that can provide reliable future climate information to support planning, finance, and other decision-making applications. Large language models…

机器学习 · 计算机科学 2024-11-22 Yang Wang , Hassan A. Karimi

The transformative influence of Large Language Models (LLMs) is profoundly reshaping the Artificial Intelligence (AI) technology domain. Notably, ChatGPT distinguishes itself within these models, demonstrating remarkable performance in…

软件工程 · 计算机科学 2024-05-28 Sayed Erfan Arefin , Tasnia Ashrafi Heya , Hasan Al-Qudah , Ynes Ineza , Abdul Serwadda

Generative Pre-trained Transformer 4 (GPT-4) is the fourth-generation language model in the GPT series, developed by OpenAI, which promises significant advancements in the field of natural language processing (NLP). In this research…

计算与语言 · 计算机科学 2023-05-08 Jawid Ahmad Baktash , Mursal Dawodi

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains…

计算与语言 · 计算机科学 2024-01-09 Vahid Ashrafimoghari , Necdet Gürkan , Jordan W. Suchow

Large Language Models (LLMs) have demonstrated remarkable performance on a wide range of Natural Language Processing (NLP) tasks, often matching or even beating state-of-the-art task-specific models. This study aims at assessing the…

The programming capabilities of large language models (LLMs) have revolutionized automatic code generation and opened new avenues for automatic statistical analysis. However, the validity and quality of these generated codes need to be…

With the rising human-like precision of Large Language Models (LLMs) in numerous tasks, their utilization in a variety of real-world applications is becoming more prevalent. Several studies have shown that LLMs excel on many standard NLP…

计算与语言 · 计算机科学 2024-04-03 Rishav Hada , Varun Gumma , Mohamed Ahmed , Kalika Bali , Sunayana Sitaram

Large language models (LLMs) have demonstrated impressive reasoning capabilities, yet there is ongoing debate about these abilities and the potential data contamination problem recently. This paper aims to evaluate the reasoning capacities…

计算与语言 · 计算机科学 2024-06-05 Yiming Huang , Zhenghao Lin , Xiao Liu , Yeyun Gong , Shuai Lu , Fangyu Lei , Yaobo Liang , Yelong Shen , Chen Lin , Nan Duan , Weizhu Chen

In the rapidly evolving field of artificial intelligence (AI), the application of large language models (LLMs) in agriculture, particularly in pest management, remains nascent. We aimed to prove the feasibility by evaluating the content of…

计算与语言 · 计算机科学 2024-03-19 Shanglong Yang , Zhipeng Yuan , Shunbao Li , Ruoling Peng , Kang Liu , Po Yang

The adoption of Large Language Models (LLMs) for code generation in data science offers substantial potential for enhancing tasks such as data manipulation, statistical analysis, and visualization. However, the effectiveness of these models…

Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks. This project aims to explore the capabilities of GPT-3.5, a leading…

计算与语言 · 计算机科学 2023-11-02 Jingjing Wang , Joshua Luo , Grace Yang , Allen Hong , Feng Luo