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Large Vision-Language Models (LVLMs) have made significant strides in the field of video understanding in recent times. Nevertheless, existing video benchmarks predominantly rely on text prompts for evaluation, which often require complex…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Yiming Zhao , Yu Zeng , Yukun Qi , YaoYang Liu , Xikun Bao , Lin Chen , Zehui Chen , Qing Miao , Chenxi Liu , Jie Zhao , Feng Zhao

The rise of Large Language Models (LLMs), such as LLaMA and ChatGPT, has opened new opportunities for enhancing recommender systems through improved explainability. This paper provides a systematic literature review focused on leveraging…

Information Retrieval · Computer Science 2025-01-22 Alan Said

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

Computation and Language · Computer Science 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy

Large Language Models (LLMs), such as ChatGPT, have become widely popular and widely used in various software engineering tasks such as refactoring, testing, code review, and program comprehension. Although recent studies have examined the…

Software Engineering · Computer Science 2025-09-11 Eman Abdullah AlOmar , Luo Xu , Sofia Martinez , Anthony Peruma , Mohamed Wiem Mkaouer , Christian D. Newman , Ali Ouni

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-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

Large Language Models (LLMs), like ChatGPT, have demonstrated vast potential but also introduce challenges related to content constraints and potential misuse. Our study investigates three key research questions: (1) the number of different…

Software Engineering · Computer Science 2024-03-12 Yi Liu , Gelei Deng , Zhengzi Xu , Yuekang Li , Yaowen Zheng , Ying Zhang , Lida Zhao , Tianwei Zhang , Kailong Wang , Yang Liu

Large Language Models (LLMs) have achieved remarkable success recently, displaying exceptional capabilities in creating understandable and organized text. These LLMs have been utilized in diverse fields, such as clinical research, where…

Statistical Finance · Quantitative Finance 2025-01-17 Shuoling Liu , Gaoguo Jia , Yuhang Jiang , Liyuan Chen , Qiang Yang

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

Machine Learning · Computer Science 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

Objective: To evaluate the efficiency of large language models (LLMs) such as ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on detailed case descriptions. Methods: We selected 22 different case reports of neuro-ophthalmic…

Computers and Society · Computer Science 2023-09-25 Yeganeh Madadi , Mohammad Delsoz , Priscilla A. Lao , Joseph W. Fong , TJ Hollingsworth , Malik Y. Kahook , Siamak Yousefi

Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering tasks, particularly in the field of code generation. Automatic…

Software Engineering · Computer Science 2024-04-16 Zhijie Liu , Yutian Tang , Xiapu Luo , Yuming Zhou , Liang Feng Zhang

Large language models (LLMs) have made significant progress in NLP. However, their ability to memorize, represent, and leverage commonsense knowledge has been a well-known pain point. In this paper, we specifically focus on ChatGPT, a…

Computation and Language · Computer Science 2024-04-22 Ning Bian , Xianpei Han , Le Sun , Hongyu Lin , Yaojie Lu , Ben He , Shanshan Jiang , Bin Dong

ChatGPT has shown strong capabilities in natural language generation tasks, which naturally leads researchers to explore where its abilities end. In this paper, we examine whether ChatGPT can be used for zero-shot text classification, more…

Computation and Language · Computer Science 2023-03-09 Taja Kuzman , Igor Mozetič , Nikola Ljubešić

Large Language Models (LLMs) have demonstrated remarkable success in various natural language processing and software engineering tasks, such as code generation. The LLMs are mainly utilized in the prompt-based zero/few-shot paradigm to…

Software Engineering · Computer Science 2024-01-31 Mohamad Khajezade , Jie JW Wu , Fatemeh Hendijani Fard , Gema Rodríguez-Pérez , Mohamed Sami Shehata

Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level machine translation (MT) as a testbed, this paper provides…

Computation and Language · Computer Science 2023-10-25 Longyue Wang , Chenyang Lyu , Tianbo Ji , Zhirui Zhang , Dian Yu , Shuming Shi , Zhaopeng Tu

Given a document in a source language, cross-lingual summarization (CLS) aims to generate a summary in a different target language. Recently, the emergence of Large Language Models (LLMs), such as GPT-3.5, ChatGPT and GPT-4, has attracted…

Computation and Language · Computer Science 2023-10-25 Jiaan Wang , Yunlong Liang , Fandong Meng , Beiqi Zou , Zhixu Li , Jianfeng Qu , Jie Zhou

Attaining a high degree of user controllability in visual generation often requires intricate, fine-grained inputs like layouts. However, such inputs impose a substantial burden on users when compared to simple text inputs. To address the…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Weixi Feng , Wanrong Zhu , Tsu-jui Fu , Varun Jampani , Arjun Akula , Xuehai He , Sugato Basu , Xin Eric Wang , William Yang Wang

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

Software Engineering · Computer Science 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

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

Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li