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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

We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology. In…

Hate speech is a severe issue that affects many online platforms. So far, several studies have been performed to develop robust hate speech detection systems. Large language models like ChatGPT have recently shown a great promise in…

计算与语言 · 计算机科学 2023-05-24 Mithun Das , Saurabh Kumar Pandey , Animesh Mukherjee

Purpose: Assess whether ChatGPT 4.0 is accurate enough to perform research evaluations on journal articles to automate this time-consuming task. Design/methodology/approach: Test the extent to which ChatGPT-4 can assess the quality of…

数字图书馆 · 计算机科学 2024-05-01 Mike Thelwall

Harnessing logical reasoning ability is a comprehensive natural language understanding endeavor. With the release of Generative Pretrained Transformer 4 (GPT-4), highlighted as "advanced" at reasoning tasks, we are eager to learn the GPT-4…

计算与语言 · 计算机科学 2023-05-08 Hanmeng Liu , Ruoxi Ning , Zhiyang Teng , Jian Liu , Qiji Zhou , Yue Zhang

The release of the large language model based chatbot ChatGPT in November 2022 has brought considerable attention to the subject of artificial intelligence, not only in the public. From the perspective of higher education, ChatGPT…

计算机与社会 · 计算机科学 2023-11-29 Nicolas Schwenke , Heinrich Söbke , Eckhard Kraft

Recent advances in large language models (LLMs) have shown impressive ability in biomedical question-answering, but have not been adequately investigated for more specific biomedical applications. This study investigates the performance of…

计算与语言 · 计算机科学 2024-03-29 Shan Chen , Yingya Li , Sheng Lu , Hoang Van , Hugo JWL Aerts , Guergana K. Savova , Danielle S. Bitterman

Artificial intelligence is gaining traction in more ways than ever before. The popularity of language models and AI-based businesses has soared since ChatGPT was made available to the general public via OpenAI. It is becoming increasingly…

计算机与社会 · 计算机科学 2023-07-31 Prabin Sharma , Kisan Thapa , Dikshya Thapa , Prastab Dhakal , Mala Deep Upadhaya , Santosh Adhikari , Salik Ram Khanal

ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it has demonstrated competent performance across many natural language processing tasks. In this work, we evaluate the capabilities of ChatGPT to…

计算与语言 · 计算机科学 2023-03-07 Mostafa M. Amin , Erik Cambria , Björn W. Schuller

Large language models (LLMs) have demonstrated exceptional performance across various linguistic tasks. However, it remains uncertain whether LLMs have developed human-like fine-grained grammatical intuition. This preregistered study…

计算与语言 · 计算机科学 2024-06-18 Zhuang Qiu , Xufeng Duan , Zhenguang G. Cai

Recent development of large language models (LLMs), such as ChatGPT has been widely applied to a wide range of software engineering tasks. Many papers have reported their analysis on the potential advantages and limitations of ChatGPT for…

软件工程 · 计算机科学 2023-09-18 Priyanka Mudgal , Rita Wouhaybi

ChatGPT has garnered significant interest due to its impressive performance; however, there is growing concern about its potential risks, particularly in the detection of AI-generated content (AIGC), which is often challenging for untrained…

计算与语言 · 计算机科学 2024-10-10 Zhenpeng Su , Xing Wu , Wei Zhou , Guangyuan Ma , Songlin Hu

ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves…

计算机与社会 · 计算机科学 2023-05-02 Mohammad Fraiwan , Natheer Khasawneh

Machine translation (MT) has historically faced significant challenges when applied to literary works, particularly in the domain of poetry translation. The advent of Large Language Models such as ChatGPT holds potential for innovation in…

计算与语言 · 计算机科学 2024-06-06 Shanshan Wang , Derek F. Wong , Jingming Yao , Lidia S. Chao

This paper discusses the effectiveness of leveraging Chatbot: Generative Pre-trained Transformer (ChatGPT) versions 3.5 and 4 for analyzing research papers for effective writing of scientific literature surveys. The study selected the…

The development of advanced generative chat models, such as ChatGPT, has raised questions about the potential consciousness of these tools and the extent of their general artificial intelligence. ChatGPT consistent avoidance of passing the…

综合文献 · 计算机科学 2023-04-26 Arend Hintze

Linguistic ambiguity is and has always been one of the main challenges in Natural Language Processing (NLP) systems. Modern Transformer architectures like BERT, T5 or more recently InstructGPT have achieved some impressive improvements in…

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

ChatGPT is one of the most popular language models which achieve amazing performance on various natural language tasks. Consequently, there is also an urgent need to detect the texts generated ChatGPT from human written. One of the…

计算与语言 · 计算机科学 2023-10-04 Han Xu , Jie Ren , Pengfei He , Shenglai Zeng , Yingqian Cui , Amy Liu , Hui Liu , Jiliang Tang

This research introduces a novel text generation model that combines BERT's semantic interpretation strengths with GPT-4's generative capabilities, establishing a high standard in generating coherent, contextually accurate language. Through…

计算与语言 · 计算机科学 2024-11-20 Jiajing Chen , Shuo Wang , Zhen Qi , Zhenhong Zhang , Chihang Wang , Hongye Zheng