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Providing explainable and faithful feedback is crucial for automated student answer assessment. In this paper, we introduce a novel framework that explores using ChatGPT, a cutting-edge large language model, for the concurrent tasks of…

Computation and Language · Computer Science 2023-10-25 Jiazheng Li , Lin Gui , Yuxiang Zhou , David West , Cesare Aloisi , Yulan He

In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI, ChatGPT is a powerful language model that presents numerous…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Abu Saleh Musa Miah , Md Mahbubur Rahman Tusher , Md. Moazzem Hossain , Md Mamun Hossain , Md Abdur Rahim , Md Ekramul Hamid , Md. Saiful Islam , Jungpil Shin

Personalized learning has gained attention in English as a Foreign Language (EFL) education, where engagement and motivation play crucial roles in reading comprehension. We propose a novel approach to generating personalized English reading…

Computation and Language · Computer Science 2025-11-13 Jieun Han , Daniel Lee , Haneul Yoo , Jinsung Yoon , Junyeong Park , Suin Kim , So-Yeon Ahn , Alice Oh

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

Computation and Language · Computer Science 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

While large language models have made strides in natural language processing, their proficiency in complex reasoning tasks requiring formal language comprehension, such as chess, remains less investigated. This paper probes the performance…

Computation and Language · Computer Science 2023-08-30 Mu-Tien Kuo , Chih-Chung Hsueh , Richard Tzong-Han Tsai

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

Computation and Language · Computer Science 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

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

E-learning environments are increasingly harnessing large language models (LLMs) like GPT-3.5 and GPT-4 for tailored educational support. This study introduces an approach that integrates dynamic knowledge graphs with LLMs to offer nuanced…

Artificial Intelligence · Computer Science 2024-12-06 Patrick Ocheja , Brendan Flanagan , Yiling Dai , Hiroaki Ogata

Pretrained Large Language Models (LLMs) have achieved remarkable success across diverse domains, with education and research emerging as particularly impactful areas. Among current state-of-the-art LLMs, ChatGPT and DeepSeek exhibit strong…

Artificial Intelligence · Computer Science 2025-12-10 Md Mostafizer Rahman , Ariful Islam Shiplu , Md Faizul Ibne Amin , Yutaka Watanobe , Lu Peng

Neural network-based methods represent the state-of-the-art in question generation from text. Existing work focuses on generating only questions from text without concerning itself with answer generation. Moreover, our analysis shows that…

Computation and Language · Computer Science 2018-03-13 Vishwajeet Kumar , Kireeti Boorla , Yogesh Meena , Ganesh Ramakrishnan , Yuan-Fang Li

We study automatic question generation for sentences from text passages in reading comprehension. We introduce an attention-based sequence learning model for the task and investigate the effect of encoding sentence- vs. paragraph-level…

Computation and Language · Computer Science 2017-05-02 Xinya Du , Junru Shao , Claire Cardie

The use of chatbots in language learning has evolved significantly since the 1960s, becoming more sophisticated platforms as generative AI emerged. These tools now simulate natural conversations, adapting to individual learners' needs,…

Computation and Language · Computer Science 2025-01-29 Miao Lin-Zucker , Joël Bellassen , Jean-Daniel Zucker

Over the past decade, predictive language modeling for code has proven to be a valuable tool for enabling new forms of automation for developers. More recently, we have seen the advent of general purpose "large language models", based on…

Software Engineering · Computer Science 2023-06-05 Sajed Jalil , Suzzana Rafi , Thomas D. LaToza , Kevin Moran , Wing Lam

ChatGPT is a publicly available chatbot that can quickly generate texts on given topics, but it is unknown whether the chatbot is really superior to human writers in all aspects of writing and whether its writing quality can be prominently…

Computation and Language · Computer Science 2023-03-22 Tongquan Zhou , Siyi Cao , Siruo Zhou , Yao Zhang , Aijing He

As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may…

Human-Computer Interaction · Computer Science 2026-04-23 Andrew Jelson , Daniel Manesh , Alice Jang , Daniel Dunlap , Young-Ho Kim , Sang Won Lee

Pre-trained Language Models (PLMs) have achieved great success on Machine Reading Comprehension (MRC) over the past few years. Although the general language representation learned from large-scale corpora does benefit MRC, the poor support…

Computation and Language · Computer Science 2021-05-19 Fangkai Jiao , Yangyang Guo , Yilin Niu , Feng Ji , Feng-Lin Li , Liqiang Nie

Conversational AI, such as ChatGPT, is increasingly used for information seeking. However, little is known about how ordinary users actually prompt and how ChatGPT adapts its responses in real-world conversational information seeking (CIS).…

Human-Computer Interaction · Computer Science 2026-04-22 Haoning Xue , Yoo Jung Oh , Xinyi Zhou , Xinyu Zhang , Berit Oxley

ChatGPT, as a language model based on large-scale pre-training, has exerted a profound influence on the domain of machine translation. In ChatGPT, a "Prompt" refers to a segment of text or instruction employed to steer the model towards…

Computation and Language · Computer Science 2024-06-05 Hui Jiao , Bei Peng , Lu Zong , Xiaojun Zhang , Xinwei Li

Machine reading comprehension is a challenging task and hot topic in natural language processing. Its goal is to develop systems to answer the questions regarding a given context. In this paper, we present a comprehensive survey on…

Computation and Language · Computer Science 2020-10-22 Razieh Baradaran , Razieh Ghiasi , Hossein Amirkhani