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ChatGPT,a cutting-edge AI-powered Chatbot,can quickly generate responses on given commands. While it was reported that ChatGPT had the capacity to deliver useful feedback, it is still unclear about its effectiveness compared with…

Computation and Language · Computer Science 2023-09-06 Siyi Cao , Linping Zhong

Building upon the strength of modern large language models (LLMs), generative error correction (GEC) has emerged as a promising paradigm that can elevate the performance of modern automatic speech recognition (ASR) systems. One…

Computation and Language · Computer Science 2024-07-24 Rithik Sachdev , Zhong-Qiu Wang , Chao-Han Huck Yang

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

General Economics · Economics 2024-06-25 Magnus Lundgren

Chatbots have become popular in educational settings, revolutionizing how students interact with material and how teachers teach. We present Curriculum-Driven EduBot, a framework for developing a chatbot that combines the interactive…

Computation and Language · Computer Science 2024-08-06 Yu Li , Shang Qu , Jili Shen , Shangchao Min , Zhou Yu

Large Language Models(LLMs) have demonstrated remarkable performance across various natural language processing tasks; however, how to comprehensively and accurately assess their performance becomes an urgent issue to be addressed. This…

Computation and Language · Computer Science 2024-02-27 Xiaotian Zhang , Chunyang Li , Yi Zong , Zhengyu Ying , Liang He , Xipeng Qiu

Generative Large Language Models (gLLMs), such as ChatGPT, are increasingly being used in communication research for content analysis. Studies show that gLLMs can outperform both crowd workers and trained coders, such as research…

Artificial Intelligence · Computer Science 2025-10-29 Daria Kravets-Meinke , Hannah Schmid-Petri , Sonja Niemann , Ute Schmid

This research presents a comprehensive methodology for utilizing an ontology-driven structured prompts system in interplay with ChatGPT, a widely used large language model (LLM). The study develops formal models, both information and…

Artificial Intelligence · Computer Science 2023-07-12 Oleksandr Palagin , Vladislav Kaverinskiy , Anna Litvin , Kyrylo Malakhov

ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves…

Computers and Society · Computer Science 2023-05-02 Mohammad Fraiwan , Natheer Khasawneh

Large language models (LLMs) have demonstrated unparalleled prowess in mimicking human-like text generation and processing. Among the myriad of applications that benefit from LLMs, automated code generation is increasingly promising. The…

Software Engineering · Computer Science 2023-11-15 Lincoln Murr , Morgan Grainger , David Gao

Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in accessing and leveraging long-term memory, leading…

Artificial Intelligence · Computer Science 2024-07-16 Zhongsheng Wang , Jiamou Liu , Qiming Bao , Hongfei Rong , Jingfeng Zhang

Metaphors are common in everyday language, and the identification and understanding of metaphors are facilitated by models to achieve a better understanding of the text. Metaphors are mainly identified and generated by pre-trained models in…

Computation and Language · Computer Science 2024-08-20 Jie Wang , Jin Wang , Xuejie Zhang

The recent advancement in Natural Language Processing (NLP) capability has led to the development of language models (e.g., ChatGPT) that is capable of generating human-like language. In this study, we explore how language models can be…

Computation and Language · Computer Science 2023-04-25 Hengky Susanto , David James Woo , Kai Guo

Prompt engineering is crucial for achieving reliable and effective outputs from large language models (LLMs), but its design requires specialized knowledge of prompting techniques and a deep understanding of target tasks. To address this…

Computation and Language · Computer Science 2025-10-22 Yohei Ikenoue , Hitomi Tashiro , Shigeru Kuroyanagi

Recently, the development and progress of Large Language Models (LLMs) have amazed the entire Artificial Intelligence community. Benefiting from their emergent abilities, LLMs have attracted more and more researchers to study their…

Computation and Language · Computer Science 2024-10-28 Yinghui Li , Haojing Huang , Shirong Ma , Yong Jiang , Yangning Li , Feng Zhou , Hai-Tao Zheng , Qingyu Zhou

This study explores automatic generation (AIG) using language models to create multiple choice questions (MCQs) for morphological assessment, aiming to reduce the cost and inconsistency of manual test development. The study used a two-fold…

Computation and Language · Computer Science 2025-08-29 Mohammad Amini , Babak Ahmadi , Xiaomeng Xiong , Yilin Zhang , Christopher Qiao

Large Language Models (LLMs) have demonstrated excellent performance on Machine Translation Quality Estimation (MTQE), yet their high inference costs make them impractical for direct application. In this work, we propose applying LLMs to…

Computation and Language · Computer Science 2026-03-12 Sidi Wang , Sophie Arnoult , Amir Kamran

Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific…

This technical paper introduces a chatting robot system that utilizes recent advancements in large-scale language models (LLMs) such as GPT-3 and ChatGPT. The system is integrated with a co-speech gesture generation system, which selects…

Robotics · Computer Science 2023-06-12 Naoki Wake , Atsushi Kanehira , Kazuhiro Sasabuchi , Jun Takamatsu , Katsushi Ikeuchi

Large Language Models (LLMs) excel in various tasks, but they rely on carefully crafted prompts that often demand substantial human effort. To automate this process, in this paper, we propose a novel framework for discrete prompt…

Computation and Language · Computer Science 2025-05-02 Qingyan Guo , Rui Wang , Junliang Guo , Bei Li , Kaitao Song , Xu Tan , Guoqing Liu , Jiang Bian , Yujiu Yang

The strategic significance of Large Language Models (LLMs) in economic expansion, innovation, societal development, and national security has been increasingly recognized since the advent of ChatGPT. This study provides a comprehensive…

Computation and Language · Computer Science 2024-05-22 Zhenhui Jiang , Jiaxin Li , Yang Liu