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Related papers: Early science acceleration experiments with GPT-5

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We introduce the AI co-mathematician, a workbench for mathematicians to interactively leverage AI agents to pursue open-ended research. The AI co-mathematician is optimized to provide holistic support for the exploratory and iterative…

Generative pre-trained transformer (GPT) models have revolutionized the field of natural language processing (NLP) with remarkable performance in various tasks and also extend their power to multimodal domains. Despite their success, large…

Computation and Language · Computer Science 2023-08-29 Kaiyuan Gao , Sunan He , Zhenyu He , Jiacheng Lin , QiZhi Pei , Jie Shao , Wei Zhang

The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR). Distinguished from its predecessors, ChatGPT offers significant benefits that have attracted…

Information Retrieval · Computer Science 2024-04-18 Yizheng Huang , Jimmy Huang

Researchers often rely on humans to code (label, annotate, etc.) large sets of texts. This kind of human coding forms an important part of social science research, yet the coding process is both resource intensive and highly variable from…

Artificial Intelligence · Computer Science 2023-06-06 Christopher Michael Rytting , Taylor Sorensen , Lisa Argyle , Ethan Busby , Nancy Fulda , Joshua Gubler , David Wingate

Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contribution to technology can come from multiple approaches that…

The application of Artificial intelligence for teaching and learning in the academic sphere is a trending subject of interest in the computing education. ChatGPT, as an AI-based tool, provides various advantages, such as heightened student…

Computers and Society · Computer Science 2024-01-18 Basit Qureshi

Most state-of-the-art AI applications in atmospheric science are based on classic deep learning approaches. However, such approaches cannot automatically integrate multiple complicated procedures to construct an intelligent agent, since…

Machine Learning · Computer Science 2024-07-26 Lujia Zhang , Hanzhe Cui , Yurong Song , Chenyue Li , Binhang Yuan , Mengqian Lu

More scientists are now using AI, but prior studies have examined only how they use it 'at the desk' for computer-based work. However, given that scientific work often happens 'beyond the desk' at lab and field sites, we conducted the first…

Human-Computer Interaction · Computer Science 2026-03-23 Irene Hou , Alexander Qin , Lauren Cheng , Philip J. Guo

One of the grand challenges of artificial general intelligence is developing agents capable of conducting scientific research and discovering new knowledge. While frontier models have already been used as aides to human scientists, e.g. for…

Artificial Intelligence · Computer Science 2024-09-04 Chris Lu , Cong Lu , Robert Tjarko Lange , Jakob Foerster , Jeff Clune , David Ha

Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research. However, these tools are in the early stages of development and…

Machine Learning · Computer Science 2023-06-19 Fadel M. Megahed , Ying-Ju Chen , Joshua A. Ferris , Sven Knoth , L. Allison Jones-Farmer

A key objective in artificial intelligence (AI) development is to create systems that match or surpass human creativity. Although current AI models perform well across diverse creative tasks, it remains unclear whether these achievements…

Human-Computer Interaction · Computer Science 2025-04-01 Man Zhang , Ying Li , Yang Peng , Yijia Sun , Wenxin Guo , Huiqing Hu , Shi Chen , Qingbai Zhao

As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) has made headlines everywhere because of its ability to analyze and create text, images, and beyond. With such overwhelming media coverage, it is almost impossible for…

Instructor's feedback plays a critical role in students' development of conceptual understanding and reasoning skills. However, grading student written responses and providing personalized feedback can take a substantial amount of time. In…

Physics Education · Physics 2024-06-17 Tong Wan , Zhongzhou Chen

Can large language models be used to complete mathematical tasks that are traditionally performed either manually or with the aid of theorem provers? To answer this question, a state-of-the-art system, GPT-4, was provided with a concise…

Computation and Language · Computer Science 2023-05-23 Gregor vom Scheidt

Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as potent tools increasingly capable of performing human-level…

Computation and Language · Computer Science 2023-04-13 Sifatkaur Dhingra , Manmeet Singh , Vaisakh SB , Neetiraj Malviya , Sukhpal Singh Gill

The emergence of "big data" offers unprecedented opportunities for not only accelerating scientific advances but also enabling new modes of discovery. Scientific progress in many disciplines is increasingly enabled by our ability to examine…

Computers and Society · Computer Science 2017-07-03 Vasant G. Honavar , Mark D. Hill , Katherine Yelick

We present an extended version of the AI Productivity Index (APEX-v1-extended), a benchmark for assessing whether frontier models are capable of performing economically valuable tasks in four jobs: investment banking associate, management…

The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to…

Computers and Society · Computer Science 2024-03-25 Manuel de Buenaga , Francisco Javier Bueno

Generative pretraining (the "GPT" in ChatGPT) enables language models to learn from vast amounts of internet text without human supervision. This approach has driven breakthroughs across AI by allowing deep neural networks to learn from…

Neurons and Cognition · Quantitative Biology 2025-09-23 Thomas Serre , Ellie Pavlick

In the burgeoning field of artificial intelligence (AI), understanding the capabilities and limitations of programming-oriented models is crucial. This paper presents a novel evaluation of the programming proficiency of Generative…

Artificial Intelligence · Computer Science 2023-06-06 Zizhuo Zhang , Lian Wen , Shaoyang Zhang , David Chen , Yanfei Jiang