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Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks. However, traditional recommender systems continue to face great challenges such as poor interactivity and…

信息检索 · 计算机科学 2023-04-05 Yunfan Gao , Tao Sheng , Youlin Xiang , Yun Xiong , Haofen Wang , Jiawei Zhang

As large language models (LLMs) become increasingly prevalent, understanding human-LLM interactions is emerging as a central priority in psychological research. Online experiments offer an efficient means to study human-LLM interactions,…

人机交互 · 计算机科学 2025-11-27 R. Bermudez Schettino , A. Dasmeh , L. Brinkmann

Numerous methods have been proposed to detect, estimate, and analyze properties of people in images, including 3D pose, shape, contact, human-object interaction, and emotion. While widely applicable in vision and other areas, such methods…

计算机视觉与模式识别 · 计算机科学 2025-05-30 Jing Lin , Yao Feng , Weiyang Liu , Michael J. Black

Large Language Models (LLMs) have revolutionized various industries by harnessing their power to improve productivity and facilitate learning across different fields. One intriguing application involves combining LLMs with visual models to…

人机交互 · 计算机科学 2023-12-14 Hussam Azzuni , Sharim Jamal , Abdulmotaleb Elsaddik

ChatGPT is a language model based on Generative AI. Existing research work on ChatGPT focused on its use in various domains. However, its potential for Sign Language Translation (SLT) is yet to be explored. This paper addresses this void.…

计算与语言 · 计算机科学 2024-01-17 Nada Shahin , Leila Ismail

The conversational nature of chatbots poses challenges to designers since their development is different from other software and requires investigating new practices in the context of human-AI interaction and their impact on user…

人机交互 · 计算机科学 2023-01-18 Geovana Ramos Sousa Silva , Edna Dias Canedo

Safety lies at the core of the development of Large Language Models (LLMs). There is ample work on aligning LLMs with human ethics and preferences, including data filtering in pretraining, supervised fine-tuning, reinforcement learning from…

计算与语言 · 计算机科学 2024-03-27 Youliang Yuan , Wenxiang Jiao , Wenxuan Wang , Jen-tse Huang , Pinjia He , Shuming Shi , Zhaopeng Tu

In the burgeoning field of AI-driven image generation, the quest for precision and relevance in response to textual prompts remains paramount. This paper introduces GPTDrawer, an innovative pipeline that leverages the generative prowess of…

计算机视觉与模式识别 · 计算机科学 2024-12-17 Kun Li , Xinwei Chen , Tianyou Song , Hansong Zhang , Wenzhe Zhang , Qing Shan

Recent research has explored the creation of questions from code submitted by students. These Questions about Learners' Code (QLCs) are created through program analysis, exploring execution paths, and then creating code comprehension…

计算机与社会 · 计算机科学 2024-04-19 Teemu Lehtinen , Charles Koutcheme , Arto Hellas

The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and…

人机交互 · 计算机科学 2023-06-27 Philippe J. Giabbanelli

Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language Models (LLMs, e.g., ChatGPT) in grammatical error…

计算与语言 · 计算机科学 2023-08-21 Yaxin Fan , Feng Jiang , Peifeng Li , Haizhou Li

Source code identifiers often contain abbreviations. Such abbreviations may reduce the readability of the source code, which in turn hinders the maintenance of the software applications. To this end, accurate and automated approaches to…

软件工程 · 计算机科学 2024-11-01 Yanjie Jiang , Hui Liu , Lu Zhang

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

机器学习 · 计算机科学 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang

ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot launched by OpenAI on November 30, 2022. OpenAI's GPT-3 family of large language models serve as the foundation for ChatGPT. ChatGPT is fine-tuned with both supervised and…

软件工程 · 计算机科学 2023-05-29 Giriprasad Sridhara , Ranjani H. G. , Sourav Mazumdar

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…

计算机视觉与模式识别 · 计算机科学 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popularity due to its strong capability across a wide range of…

密码学与安全 · 计算机科学 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

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…

人机交互 · 计算机科学 2024-08-06 Liwenhan Xie , Chengbo Zheng , Haijun Xia , Huamin Qu , Chen Zhu-Tian

Addressing the global challenge of breast cancer, this research explores the fusion of generative AI, focusing on ChatGPT 3.5 turbo model, and the intricacies of breast cancer risk assessment. The research aims to evaluate ChatGPT's…

计算与语言 · 计算机科学 2024-06-04 Yousef Khan , Ahmed Abdeen Hamed

Large language models, like ChatGPT, have shown remarkable capability in many downstream tasks, yet their ability to understand discourse structures of dialogues remains less explored, where it requires higher level capabilities of…

计算与语言 · 计算机科学 2024-03-06 Yaxin Fan , Feng Jiang , Peifeng Li , Haizhou Li

Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have…

人机交互 · 计算机科学 2024-02-26 Juhye Ha , Hyeon Jeon , DaEun Han , Jinwook Seo , Changhoon Oh