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The rapid advancement of large language models has fundamentally shifted the bottleneck in AI development from computational power to data availability-with countless valuable datasets remaining hidden across specialized repositories,…

人工智能 · 计算机科学 2025-08-12 Keyu Li , Mohan Jiang , Dayuan Fu , Yunze Wu , Xiangkun Hu , Dequan Wang , Pengfei Liu

Recent advancements in large language models have demonstrated that extended inference through techniques can markedly improve performance, yet these gains come with increased computational costs and the propagation of inherent biases found…

计算与语言 · 计算机科学 2025-02-10 Edward Hong Wang , Cynthia Xin Wen

The startling success of ChatGPT and other large language models (LLMs) using transformer-based generative neural network architecture in applications such as natural language processing and image synthesis has many researchers excited…

人工智能 · 计算机科学 2024-11-05 Venkat Venkatasubramanian , Arijit Chakraborty

With the surge of ChatGPT,the use of large models has significantly increased,rapidly rising to prominence across the industry and sweeping across the internet. This article is a comprehensive review of fine-tuning methods for large models.…

机器学习 · 计算机科学 2024-04-16 Benjue Weng

The widespread adoption of large language models (LLMs) such as ChatGPT, Gemini, and DeepSeek has significantly changed how people approach tasks in education, professional work, and creative domains. This paper investigates how the…

人机交互 · 计算机科学 2025-08-29 Rizal Khoirul Anam

Large Language Model (LLM)-based generative AI systems, such as ChatGPT, demonstrate zero-shot learning capabilities across a wide range of downstream tasks. Owing to their general-purpose nature and potential to augment or even automate…

人工智能 · 计算机科学 2025-06-19 Jin Liu , Xingchen Xu , Xi Nan , Yongjun Li , Yong Tan

In this paper, we discuss the relationship between natural language processing by computers (NLP) and the understanding of the human language capacity, as studied by linguistics and cognitive science. We outline the evolution of NLP from…

计算与语言 · 计算机科学 2026-03-31 Andrei Popescu-Belis

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.…

信息检索 · 计算机科学 2023-10-30 Junling Liu , Chao Liu , Peilin Zhou , Renjie Lv , Kang Zhou , Yan Zhang

This review synthesizes the nascent but critical field of developmental interpretability for Large Language Models. We chart the field's evolution from static, post-hoc analysis of trained models to a dynamic investigation of the training…

计算与语言 · 计算机科学 2025-08-25 Ihor Kendiukhov

Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a variety of everyday tasks. An important application of AI…

计算机与社会 · 计算机科学 2023-12-07 Yugen Sato , Taisei Nakajima , Tatsuki Kawamoto , Tomohiro Takagi

The public release of ChatGPT has resulted in considerable publicity and has led to wide-spread discussion of the usefulness and capabilities of generative AI language models. Its ability to extract and summarise data from textual sources…

人工智能 · 计算机科学 2023-08-08 Dirk HR Spennemann

Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) inevitably raises concerns about the risks and safety…

计算机与社会 · 计算机科学 2024-07-29 Jaymari Chua , Yun Li , Shiyi Yang , Chen Wang , Lina Yao

Traditional applications of natural language processing (NLP) in healthcare have predominantly focused on patient-centered services, enhancing patient interactions and care delivery, such as through medical dialogue systems. However, the…

计算与语言 · 计算机科学 2024-06-11 Hengguan Huang , Songtao Wang , Hongfu Liu , Hao Wang , Ye Wang

Generative AI systems such as ChatGPT challenge traditional assumptions about academic assessment by enabling students to generate explanations, code, and solutions in real time. Rather than attempting to restrict AI use, this study…

计算机与社会 · 计算机科学 2026-05-13 Qusay H. Mahmoud

The advent of ChatGPT by OpenAI has prompted extensive discourse on its potential implications for science and higher education. While the impact on education has been a primary focus, there is limited empirical research on the effects of…

计算机与社会 · 计算机科学 2023-06-19 Benedikt Fecher , Marcel Hebing , Melissa Laufer , Jörg Pohle , Fabian Sofsky

ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions. In this report, we aim to evaluate ChatGPT…

计算与语言 · 计算机科学 2023-03-27 Haoran Wu , Wenxuan Wang , Yuxuan Wan , Wenxiang Jiao , Michael Lyu

The proliferation of NLP-powered language technologies, AI-based natural language generation models, and English as a mainstream means of communication among both native and non-native speakers make the output of AI-powered tools especially…

计算与语言 · 计算机科学 2025-02-07 Karolina Rudnicka

The rapid advancement of Generative AI (Gen AI) technologies, particularly tools like ChatGPT, is significantly impacting the labor market by reshaping job roles and skill requirements. This study examines the demand for ChatGPT-related…

计算机与社会 · 计算机科学 2024-12-11 Mahdi Ahmadi , Neda Khosh Kheslat , Adebola Akintomide

The remarkable achievements of ChatGPT and GPT-4 have sparked a wave of interest and research in the field of large language models for Artificial General Intelligence (AGI). These models provide intelligent solutions close to human…

计算机视觉与模式识别 · 计算机科学 2024-04-03 Xiang Li , Congcong Wen , Yuan Hu , Zhenghang Yuan , Xiao Xiang Zhu

We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of…

计算与语言 · 计算机科学 2023-07-12 Michael O'Neill , Mark Connor
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