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The progress of Large Language Models (LLMs) like ChatGPT raises the question of how they can be integrated into education. One hope is that they can support mathematics learning, including word-problem solving. Since LLMs can handle…

计算与语言 · 计算机科学 2025-08-12 Anselm R. Strohmaier , Wim Van Dooren , Kathrin Seßler , Brian Greer , Lieven Verschaffel

The adaptation of Large Language Models like ChatGPT for information retrieval from scientific data, software and publications is offering new opportunities to simplify access to and understanding of science for persons from all levels of…

天体物理仪器与方法 · 物理学 2025-01-14 Jutta Schnabel

In response to the growing complexity and volume of scientific literature, this paper introduces the LLMs4Synthesis framework, designed to enhance the capabilities of Large Language Models (LLMs) in generating high-quality scientific…

计算与语言 · 计算机科学 2024-09-30 Hamed Babaei Giglou , Jennifer D'Souza , Sören Auer

Large-scale task planning is a major challenge. Recent work exploits large language models (LLMs) directly as a policy and shows surprisingly interesting results. This paper shows that LLMs provide a commonsense model of the world in…

机器人学 · 计算机科学 2023-10-31 Zirui Zhao , Wee Sun Lee , David Hsu

Efficient and accurate information extraction from scientific papers is significant in the rapidly developing human-computer interaction research in the literature review process. Our paper introduces and analyses a new information…

人机交互 · 计算机科学 2024-03-28 Neda Taghizadeh Serajeh , Iman Mohammadi , Vittorio Fuccella , Mattia De Rosa

Large Language Models (LLMs) are transforming geospatial artificial intelligence (GeoAI), offering new capabilities in data processing, spatial analysis, and decision support. This paper examines the open-source paradigm's critical role in…

计算机与社会 · 计算机科学 2025-07-08 Xiao Huang , Zhengzhong Tu , Xinyue Ye , Michael Goodchild

The exponential growth of information presents a significant challenge for researchers and professionals seeking to remain at the forefront of their fields and this paper introduces an innovative framework for automatically generating…

计算工程、金融与科学 · 计算机科学 2025-10-30 Andrei Lazarev , Dmitrii Sedov

Large language models (LLMs) have achieved great success in general domains of natural language processing. In this paper, we bring LLMs to the realm of geoscience with the objective of advancing research and applications in this field. To…

As the application of large language models in various fields continues to expand, materials science also ushers in opportunities for AI-driven innovation. The traditional way of relying on manual search for materials science-related…

人工智能 · 计算机科学 2024-11-14 Chao Huang , Huichen Xiao , Chen Chen , Chunyan Chen , Yi Zhao , Shiyu Du , Yiming Zhang , He Sha , Ruixin Gu

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

人机交互 · 计算机科学 2024-04-10 M. Namvarpour , A. Razi

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Large language models (LLMs) have been widely adopted in mathematical optimization in scientific scenarios for their extensive knowledge and advanced reasoning capabilities. Existing methods mainly focus on utilizing LLMs to solve…

最优化与控制 · 数学 2025-03-18 Qitan Lv , Tianyu Liu , Hong Wang

Large language models (LLMs) are having transformative impacts across a wide range of scientific fields, particularly in the biomedical sciences. Just as the goal of Natural Language Processing is to understand sequences of words, a major…

基因组学 · 定量生物学 2024-09-24 Gonzalo Benegas , Chengzhong Ye , Carlos Albors , Jianan Canal Li , Yun S. Song

Large language models (LLMs) have achieved remarkable progress across domains and applications but face challenges such as high fine-tuning costs, inference latency, limited edge deployability, and reliability concerns. Small language…

计算与语言 · 计算机科学 2025-11-06 Fali Wang , Jihai Chen , Shuhua Yang , Ali Al-Lawati , Linli Tang , Hui Liu , Suhang Wang

In recent years, written language, particularly in science and education, has undergone remarkable shifts in word usage. These changes are widely attributed to the growing influence of Large Language Models (LLMs), which frequently rely on…

计算与语言 · 计算机科学 2025-08-04 Bryce Anderson , Riley Galpin , Tom S. Juzek

The rapid growth of biomedical knowledge has outpaced our ability to efficiently extract insights and generate novel hypotheses. Large language models (LLMs) have emerged as a promising tool to revolutionize knowledge interaction and…

计算与语言 · 计算机科学 2024-07-16 Biqing Qi , Kaiyan Zhang , Kai Tian , Haoxiang Li , Zhang-Ren Chen , Sihang Zeng , Ermo Hua , Hu Jinfang , Bowen Zhou

Large language models (LLMs) have emerged as powerful machine-learning systems capable of handling a myriad of tasks. Tuned versions of these systems have been turned into chatbots that can respond to user queries on a vast diversity of…

计算与语言 · 计算机科学 2024-08-16 Kevin G. Yager

Despite the impressive performance of Large Language Models (LLM) for various natural language processing tasks, little is known about their comprehension of geographic data and related ability to facilitate informed geospatial…

计算与语言 · 计算机科学 2023-10-23 Prabin Bhandari , Antonios Anastasopoulos , Dieter Pfoser

In an era of exponential scientific growth, identifying novel research ideas is crucial and challenging in academia. Despite potential, the lack of an appropriate benchmark dataset hinders the research of novelty detection. More…

计算与语言 · 计算机科学 2025-06-02 Yan Liu , Zonglin Yang , Soujanya Poria , Thanh-Son Nguyen , Erik Cambria
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