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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…

Computation and Language · Computer Science 2024-03-29 Shan Chen , Yingya Li , Sheng Lu , Hoang Van , Hugo JWL Aerts , Guergana K. Savova , Danielle S. Bitterman

Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing…

Human-Computer Interaction · Computer Science 2024-08-06 Liwenhan Xie , Chengbo Zheng , Haijun Xia , Huamin Qu , Chen Zhu-Tian

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…

Computation and Language · Computer Science 2024-06-18 Zhuang Qiu , Xufeng Duan , Zhenguang G. Cai

Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering. Currently there is much debate, but…

Software Engineering · Computer Science 2024-05-22 Ranim Khojah , Mazen Mohamad , Philipp Leitner , Francisco Gomes de Oliveira Neto

Recently, various illustrative examples have shown the impressive ability of generative large language models (LLMs) to perform NLP related tasks. ChatGPT undoubtedly is the most representative model. We empirically evaluate ChatGPT's…

Software Engineering · Computer Science 2023-07-20 Jianzhang Zhang , Yiyang Chen , Nan Niu , Yinglin Wang , Chuang Liu

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

The debut of ChatGPT has recently attracted the attention of the natural language processing (NLP) community and beyond. Existing studies have demonstrated that ChatGPT shows significant improvement in a range of downstream NLP tasks, but…

Information Retrieval · Computer Science 2023-08-25 Sunhao Dai , Ninglu Shao , Haiyuan Zhao , Weijie Yu , Zihua Si , Chen Xu , Zhongxiang Sun , Xiao Zhang , Jun Xu

Recommendation systems have witnessed significant advancements and have been widely used over the past decades. However, most traditional recommendation methods are task-specific and therefore lack efficient generalization ability.…

Information Retrieval · Computer Science 2023-10-30 Junling Liu , Chao Liu , Peilin Zhou , Renjie Lv , Kang Zhou , Yan Zhang

Logical reasoning is a fundamental aspect of human intelligence and a key component of tasks like problem-solving and decision-making. Recent advancements have enabled Large Language Models (LLMs) to potentially exhibit reasoning…

Computation and Language · Computer Science 2023-11-13 Jiazhan Feng , Ruochen Xu , Junheng Hao , Hiteshi Sharma , Yelong Shen , Dongyan Zhao , Weizhu Chen

Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained…

Computation and Language · Computer Science 2023-10-25 Xiang Zhang , Senyu Li , Bradley Hauer , Ning Shi , Grzegorz Kondrak

Studies on in-vehicle conversational agents have traditionally relied on pre-scripted prompts or limited voice commands, constraining natural driver-agent interaction. To resolve this issue, the present study explored the potential of a…

Human-Computer Interaction · Computer Science 2025-08-12 Yeana Lee Bond , Mungyeong Choe , Baker Kasim Hasan , Arsh Siddiqui , Myounghoon Jeon

This paper investigates the performance of the Large Language Models (LLMs) ChatGPT-3.5 and GPT-4 in solving introductory programming tasks. Based on the performance, implications for didactic scenarios and assessment formats utilizing LLMs…

Software Engineering · Computer Science 2023-08-21 Natalie Kiesler , Daniel Schiffner

The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abilities of language understanding and generation. Thus, in…

Computation and Language · Computer Science 2023-04-24 Yuan Gao , Ruili Wang , Feng Hou

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

Large language models (LLMs) can be used as accessible and intelligent chatbots by constructing natural language queries and directly inputting the prompt into the large language model. However, different prompt' constructions often lead to…

Computation and Language · Computer Science 2023-12-14 Jinta Weng , Jiarui Zhang , Yue Hu , Daidong Fa , Xiaofeng Xuand , Heyan Huang

Large language models (LLMs) like ChatGPT demonstrate the remarkable progress of artificial intelligence. However, their tendency to hallucinate -- generate plausible but false information -- poses a significant challenge. This issue is…

Computation and Language · Computer Science 2024-06-13 Philip Feldman , James R. Foulds , Shimei Pan

With ChatGPT under the spotlight, utilizing large language models (LLMs) to assist academic writing has drawn a significant amount of debate in the community. In this paper, we aim to present a comprehensive study of the detectability of…

Computation and Language · Computer Science 2024-03-19 Zeyan Liu , Zijun Yao , Fengjun Li , Bo Luo

Large Language Models (LLMs) have achieved impressive performance across various reasoning tasks. However, even state-of-the-art LLMs such as ChatGPT are prone to logical errors during their reasoning processes. Existing solutions, such as…

Computation and Language · Computer Science 2024-03-25 Chi Hu , Yuan Ge , Xiangnan Ma , Hang Cao , Qiang Li , Yonghua Yang , Tong Xiao , Jingbo Zhu

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

Recently, ChatGPT has attracted great attention from the code analysis domain. Prior works show that ChatGPT has the capabilities of processing foundational code analysis tasks, such as abstract syntax tree generation, which indicates the…

Software Engineering · Computer Science 2024-06-21 Peiyu Liu , Junming Liu , Lirong Fu , Kangjie Lu , Yifan Xia , Xuhong Zhang , Wenzhi Chen , Haiqin Weng , Shouling Ji , Wenhai Wang