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Related papers: Prompting ChatGPT for Chinese Learning as L2: A CE…

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The rapid advancements in large language models (LLMs) have greatly expanded the potential for automated code-related tasks. Two primary methodologies are used in this domain: prompt engineering and fine-tuning. Prompt engineering involves…

Software Engineering · Computer Science 2025-02-21 Jiho Shin , Clark Tang , Tahmineh Mohati , Maleknaz Nayebi , Song Wang , Hadi Hemmati

Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triumph of…

Computation and Language · Computer Science 2023-04-06 Oluwatosin Ogundare , Gustavo Quiros Araya

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software…

Human-Computer Interaction · Computer Science 2024-02-14 Anjali Khurana , Hari Subramonyam , Parmit K Chilana

The widespread availability of large language models (LLMs), such as ChatGPT, has significantly impacted education, raising both opportunities and challenges. Students can frequently interact with LLM-powered, interactive learning tools,…

Artificial Intelligence · Computer Science 2026-03-06 Hunter McNichols , Fareya Ikram , Andrew Lan

This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to automate common software engineering activities, such as…

Software Engineering · Computer Science 2023-03-15 Jules White , Sam Hays , Quchen Fu , Jesse Spencer-Smith , Douglas C. Schmidt

In this study, we introduce CT-LLM, a 2B large language model (LLM) that illustrates a pivotal shift towards prioritizing the Chinese language in developing LLMs. Uniquely initiated from scratch, CT-LLM diverges from the conventional…

Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot of attention due to the capacity of few-shot (even zero-shot)…

This paper explores the influence of integrating the purpose of the translation and the target audience into prompts on the quality of translations produced by ChatGPT. Drawing on previous translation studies, industry practices, and ISO…

Computation and Language · Computer Science 2024-02-22 Masaru Yamada

Large Language Models (LLMs) are increasingly being used in learning environments to support teaching-be it as learning companions or as tutors. With our contribution, we aim to discuss the implications of the anthropomorphization of LLMs…

Computation and Language · Computer Science 2024-08-09 Kristina Schaaff , Marc-André Heidelmann

Programming students have a widespread access to powerful Generative AI tools like ChatGPT. While this can help understand the learning material and assist with exercises, educators are voicing more and more concerns about an overreliance…

Human-Computer Interaction · Computer Science 2025-02-24 Christian Rahe , Walid Maalej

This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics. Our examination involves a…

Computation and Language · Computer Science 2024-01-25 Jie Tian , Jixin Hou , Zihao Wu , Peng Shu , Zhengliang Liu , Yujie Xiang , Beikang Gu , Nicholas Filla , Yiwei Li , Ning Liu , Xianyan Chen , Keke Tang , Tianming Liu , Xianqiao Wang

This tutorial addresses the challenge of incorporating large language models (LLMs), such as ChatGPT, in a data analytics class. It details several new in-class and out-of-class teaching techniques enabled by AI. For example, instructors…

Computers and Society · Computer Science 2024-11-13 Robert L. Bray

An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussion, to potentially better engage students than standard…

With the accelerating development of Large Language Models (LLMs), many LLMs are beginning to be used in the Chinese K-12 education domain. The integration of LLMs and education is getting closer and closer, however, there is currently no…

Computation and Language · Computer Science 2024-01-30 Jinchang Hou , Chang Ao , Haihong Wu , Xiangtao Kong , Zhigang Zheng , Daijia Tang , Chengming Li , Xiping Hu , Ruifeng Xu , Shiwen Ni , Min Yang

We propose a novel application of prompting Pre-trained Language Models (PLMs) to generate analogies and study how to design effective prompts for two task settings: generating a source concept analogous to a given target concept (aka…

Computation and Language · Computer Science 2022-10-12 Bhavya Bhavya , Jinjun Xiong , Chengxiang Zhai

Biomedical language understanding benchmarks are the driving forces for artificial intelligence applications with large language model (LLM) back-ends. However, most current benchmarks: (a) are limited to English which makes it challenging…

Computation and Language · Computer Science 2023-10-24 Wei Zhu , Xiaoling Wang , Huanran Zheng , Mosha Chen , Buzhou Tang

Large Language Models (LLMs) have the potential to fundamentally change the way people engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in natural and social sciences and education, yet no prior studies have…

Human-Computer Interaction · Computer Science 2024-02-02 John Chen , Xi Lu , Michael Rejtig , David Du , Ruth Bagley , Michael S. Horn , Uri J. Wilensky

Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversational models. However, there remains a scarcity of…

Computation and Language · Computer Science 2023-04-18 Yunjie Ji , Yan Gong , Yong Deng , Yiping Peng , Qiang Niu , Baochang Ma , Xiangang Li

Large language models (LLMs) have showcased remarkable capabilities in understanding and generating language. However, their ability in comprehending ancient languages, particularly ancient Chinese, remains largely unexplored. To bridge…

Computation and Language · Computer Science 2023-10-17 Yixuan Zhang , Haonan Li

This research explores the integration of chatbot technology powered by GPT-3.5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation. It delves into the design, implementation, and…

Computers and Society · Computer Science 2024-03-25 Achraf Hsain , Hamza El Housni