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Multiple-choice reading and listening comprehension tests are an important part of language assessment. Content creators for standard educational tests need to carefully curate questions that assess the comprehension abilities of candidates…

计算与语言 · 计算机科学 2023-07-04 Vatsal Raina , Adian Liusie , Mark Gales

ChatGPT is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method to identify and interpret patterns in data, is one…

计算与语言 · 计算机科学 2025-05-08 V Vien Lee , Stephanie C. C. van der Lubbe , Lay Hoon Goh , Jose M. Valderas

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…

The rise of big data has amplified the need for efficient, user-friendly automated machine learning (AutoML) tools. However, the intricacy of understanding domain-specific data and defining prediction tasks necessitates human intervention…

计算与语言 · 计算机科学 2023-05-24 Md Mahadi Hassan , Alex Knipper , Shubhra Kanti Karmaker Santu

"Learning by Teaching (LbT)" helps learners deepen their understanding by explaining concepts to others, with questions playing a vital role in identifying knowledge gaps and reinforcing comprehension. However, existing systems for…

News recommendations heavily rely on Natural Language Processing (NLP) methods to analyze, understand, and categorize content, enabling personalized suggestions based on user interests and reading behaviors. Large Language Models (LLMs)…

信息检索 · 计算机科学 2024-10-23 Dairui Liu , Boming Yang , Honghui Du , Derek Greene , Neil Hurley , Aonghus Lawlor , Ruihai Dong , Irene Li

Despite recent success in machine reading comprehension (MRC), learning high-quality MRC models still requires large-scale labeled training data, even using strong pre-trained language models (PLMs). The pre-training tasks for PLMs are not…

计算与语言 · 计算机科学 2021-07-20 Ning Bian , Xianpei Han , Bo Chen , Hongyu Lin , Ben He , Le Sun

In this paper, we demonstrate how studying the rhetorics of ChatGPT prompt writing on social media can promote critical AI literacies. Prompt writing is the process of writing instructions for generative AI tools like ChatGPT to elicit…

计算机与社会 · 计算机科学 2025-11-04 Anuj Gupta , Ann Shivers-McNair

Integrating large language models (LLMs) like ChatGPT into computer science education offers transformative potential for complex courses such as data structures and algorithms (DSA). This study examines ChatGPT as a supplementary tool for…

人机交互 · 计算机科学 2025-03-04 Pooriya Jamie , Reyhaneh Hajihashemi , Sharareh Alipour

Debate is the process of exchanging viewpoints or convincing others on a particular issue. Recent research has provided empirical evidence that the persuasiveness of an argument is determined not only by language usage but also by…

计算与语言 · 计算机科学 2024-10-08 Chunkit Chan , Cheng Jiayang , Xin Liu , Yauwai Yim , Yuxin Jiang , Zheye Deng , Haoran Li , Yangqiu Song , Ginny Y. Wong , Simon See

Recent advances in natural language processing (NLP) have led to the development of large language models (LLMs) such as ChatGPT. This paper proposes a methodology for developing and evaluating ChatGPT detectors for French text, with a…

计算与语言 · 计算机科学 2023-06-12 Wissam Antoun , Virginie Mouilleron , Benoît Sagot , Djamé Seddah

The integration of artificial intelligence tools such as ChatGPT in the education system has gained attention in recent years. This experience report explores students' perceptions and suggestions for integrating ChatGPT in a computer…

计算机与社会 · 计算机科学 2024-02-06 Kehinde Aruleba , Ismaila Temitayo Sanusi , George Obaido , Blessing Ogbuokiri

This study aims at solving the Machine Reading Comprehension problem where questions have to be answered given a context passage. The challenge is to develop a computationally faster model which will have improved inference time. State of…

计算与语言 · 计算机科学 2019-04-02 Debajyoti Chatterjee

Large language models (LLMs) like ChatGPT and GPT-4 have attracted great attention given their surprising performance on a wide range of NLP tasks. Length controlled generation of LLMs emerges as an important topic, which enables users to…

计算与语言 · 计算机科学 2023-10-03 Renlong Jie , Xiaojun Meng , Lifeng Shang , Xin Jiang , Qun Liu

Preference learning is a widely adopted post-training technique that aligns large language models (LLMs) to human preferences and improves specific downstream task capabilities. In this work we systematically investigate how specific…

计算与语言 · 计算机科学 2024-12-23 Joongwon Kim , Anirudh Goyal , Aston Zhang , Bo Xiong , Rui Hou , Melanie Kambadur , Dhruv Mahajan , Hannaneh Hajishirzi , Liang Tan

In the current study,we propose that, in the era of generative AI, there is now a new form of literacy called "prompt literacy," which refers to the ability to generate precise prompts as input for AI systems, interpret the outputs, and…

人机交互 · 计算机科学 2023-11-10 Yohan Hwang , Jang Ho Lee , Dongkwang Shin

ChatGPT is a chatbot that can answer text prompts fairly accurately, even performing very well on postgraduate-level questions. Many educators have found that their take-home or remote tests and exams are vulnerable to ChatGPT-based…

计算与语言 · 计算机科学 2024-02-26 Shanker Ram , Chen Qian

Our paper introduces a novel approach to social network information retrieval and user engagement through a personalized chatbot system empowered by Federated Learning GPT. The system is designed to seamlessly aggregate and curate diverse…

机器学习 · 计算机科学 2024-08-13 Sai Puppala , Ismail Hossain , Md Jahangir Alam , Sajedul Talukder

As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education. In this study, we conducted interviews…

人机交互 · 计算机科学 2024-07-18 He Zhang , Jingyi Xie , Chuhao Wu , Jie Cai , ChanMin Kim , John M. Carroll

Contemporary continual learning approaches typically select prompts from a pool, which function as supplementary inputs to a pre-trained model. However, this strategy is hindered by the inherent noise of its selection approach when handling…

计算机视觉与模式识别 · 计算机科学 2024-04-30 Yong Dai , Xiaopeng Hong , Yabin Wang , Zhiheng Ma , Dongmei Jiang , Yaowei Wang