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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

Although rarely stated, in practice, Grammatical Error Correction (GEC) encompasses various models with distinct objectives, ranging from grammatical error detection to improving fluency. Traditional evaluation methods fail to fully capture…

计算与语言 · 计算机科学 2023-08-21 Robert Östling , Katarina Gillholm , Murathan Kurfalı , Marie Mattson , Mats Wirén

Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging tasks prompted by customized instructions. However, the…

人工智能 · 计算机科学 2023-04-26 Rui Hao , Linmei Hu , Weijian Qi , Qingliu Wu , Yirui Zhang , Liqiang Nie

With the advent of off-the-shelf intelligent home products and broader internet adoption, researchers increasingly explore smart computing applications that provide easier access to health and wellness resources. AI-based systems like…

人机交互 · 计算机科学 2021-07-29 Lu Wang , Munif Ishad Mujib , Jake Williams , George Demiris , Jina Huh-Yoo

Transformer-based language models, including ChatGPT, have demonstrated exceptional performance in various natural language generation tasks. However, there has been limited research evaluating ChatGPT's keyphrase generation ability, which…

计算与语言 · 计算机科学 2023-06-30 Roberto Martínez-Cruz , Alvaro J. López-López , José Portela

Large Language Models (LLMs) like ChatGPT have demonstrated amazing capabilities in comprehending user intents and generate reasonable and useful responses. Beside their ability to chat, their capabilities in various natural language…

计算与语言 · 计算机科学 2026-02-12 Liz Li , Wei Zhu

Generative language models, such as ChatGPT, have garnered attention for their ability to generate human-like writing in various fields, including academic research. The rapid proliferation of generated texts has bolstered the need for…

计算与语言 · 计算机科学 2023-12-19 Vikas Kumar , Amisha Bharti , Devanshu Verma , Vasudha Bhatnagar

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

计算与语言 · 计算机科学 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Generative artificial intelligence (AI) and large language models (LLMs) have gained rapid popularity through publicly available tools such as ChatGPT. The adoption of LLMs for personal and professional use is fueled by the natural…

计算与语言 · 计算机科学 2024-07-25 Sinan Abdulhak , Wayne Hubbard , Karthik Gopalakrishnan , Max Z. Li

General large language models (LLMs) such as ChatGPT have shown remarkable success, but it has also raised concerns among people about the misuse of AI-generated texts. Therefore, an important question is how to detect whether the texts are…

计算与语言 · 计算机科学 2023-10-24 Rongsheng Wang , Qi Li , Sihong Xie

The recent introduction of ChatGPT has drawn significant attention from both industry and academia due to its impressive capabilities in solving a diverse range of tasks, including language translation, text summarization, and computer…

计算机与社会 · 计算机科学 2023-05-05 Chuqin Geng , Yihan Zhang , Brigitte Pientka , Xujie Si

As AI becomes more integral in our lives, the need for transparency and responsibility grows. While natural language explanations (NLEs) are vital for clarifying the reasoning behind AI decisions, evaluating them through human judgments is…

计算与语言 · 计算机科学 2024-03-27 Fan Huang , Haewoon Kwak , Kunwoo Park , Jisun An

The study explores the capabilities of OpenAI's ChatGPT in solving different types of physics problems. ChatGPT (with GPT-4) was queried to solve a total of 40 problems from a college-level engineering physics course. These problems ranged…

人工智能 · 计算机科学 2023-10-31 Karen D. Wang , Eric Burkholder , Carl Wieman , Shima Salehi , Nick Haber

Apart from what (little) OpenAI may be concealing from us, we all know (roughly) how ChatGPT works (its huge text database, its statistics, its vector representations, and their huge number of parameters, its next-word training, and so on).…

计算与语言 · 计算机科学 2025-02-18 Stevan Harnad

Generative AI offers a simple, prompt-based alternative to fine-tuning smaller BERT-style LLMs for text classification tasks. This promises to eliminate the need for manually labeled training data and task-specific model training. However,…

计算与语言 · 计算机科学 2024-08-19 Martin Juan José Bucher , Marco Martini

Artificial intelligence (AI) has made remarkable progress across various domains, with large language models like ChatGPT gaining substantial attention for their human-like text-generation capabilities. Despite these achievements, spatial…

人工智能 · 计算机科学 2024-01-11 Fangjun Li , David C. Hogg , Anthony G. Cohn

Explanatory inference is the creation and evaluation of hypotheses that provide explanations, and is sometimes known as abduction or abductive inference. Generative AI is a new set of artificial intelligence models based on novel algorithms…

人工智能 · 计算机科学 2024-09-20 Paul Thagard

In recent years, large language models have been responsible for great advances in the field of artificial intelligence (AI). ChatGPT in particular, an AI chatbot developed and recently released by OpenAI, has taken the field to the next…

密码学与安全 · 计算机科学 2026-04-09 Raphaël Khoury , Anderson R. Avila , Jacob Brunelle , Baba Mamadou Camara

AI tasks encompass a wide range of domains and fields. While numerous AI models have been designed for specific tasks and applications, they often require considerable human efforts in finding the right model architecture, optimization…

计算与语言 · 计算机科学 2023-05-05 Shujian Zhang , Chengyue Gong , Lemeng Wu , Xingchao Liu , Mingyuan Zhou

Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional machine-learning and pattern-based AI systems, and little is…