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Deductive coding is a common discourse analysis method widely used by learning science and learning analytics researchers for understanding teaching and learning interactions. It often requires researchers to manually label all discourses…

Computation and Language · Computer Science 2024-10-03 Lishan Zhang , Han Wu , Xiaoshan Huang , Tengfei Duan , Hanxiang Du

Large language models (LLMs) are now highly capable at a diverse range of tasks. This paper studies whether or not GPT-4, one such LLM, is capable of assisting researchers in the field of adversarial machine learning. As a case study, we…

Cryptography and Security · Computer Science 2023-07-28 Nicholas Carlini

Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research. However, these tools are in the early stages of development and…

Machine Learning · Computer Science 2023-06-19 Fadel M. Megahed , Ying-Ju Chen , Joshua A. Ferris , Sven Knoth , L. Allison Jones-Farmer

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

Computation and Language · Computer Science 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

AI-powered coding assistant tools have revolutionized the software engineering ecosystem. However, prior work has demonstrated that these tools are vulnerable to poisoning attacks. In a poisoning attack, an attacker intentionally injects…

Cryptography and Security · Computer Science 2023-12-12 Sanghak Oh , Kiho Lee , Seonhye Park , Doowon Kim , Hyoungshick Kim

As Large Language Models are deployed within Artificial Intelligence systems, that are increasingly integrated with human society, it becomes more important than ever to study their internal structures. Higher level abilities of LLMs such…

Computation and Language · Computer Science 2023-09-19 Stephen Fitz

In this paper, we present CORE-GPT, a novel question-answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles from CORE. We first demonstrate that GPT3.5 and GPT4 cannot…

Computation and Language · Computer Science 2023-07-11 David Pride , Matteo Cancellieri , Petr Knoth

In the ever-evolving landscape of software engineering, the emergence of large language models (LLMs) and conversational interfaces, exemplified by ChatGPT, is nothing short of revolutionary. While their potential is undeniable across…

Software Engineering · Computer Science 2023-12-12 Mithila Sivakumar , Alvine Boaye Belle , Jinjun Shan , Kimya Khakzad Shahandashti

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

Generative pre-trained transformers (GPT's) are a type of large language machine learning model that are unusually adept at producing novel, and coherent, natural language. In this study the ability of GPT models to generate novel and…

Cryptography and Security · Computer Science 2024-07-11 Elijah Pelofske , Vincent Urias , Lorie M. Liebrock

Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning. These models, solely trained on the language modeling objective, have been shown to exhibit outstanding few-shot…

Computation and Language · Computer Science 2021-08-31 Jordi Armengol-Estapé , Ona de Gibert Bonet , Maite Melero

We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code, from introductory and intermediate programming courses at…

Computation and Language · Computer Science 2023-03-15 Jaromir Savelka , Arav Agarwal , Christopher Bogart , Majd Sakr

In the rapidly evolving landscape of artificial intelligence, ChatGPT has been widely used in various applications. The new feature - customization of ChatGPT models by users to cater to specific needs has opened new frontiers in AI…

Cryptography and Security · Computer Science 2024-05-28 Jiahao Yu , Yuhang Wu , Dong Shu , Mingyu Jin , Sabrina Yang , Xinyu Xing

This paper presents an empirical evaluation of the performance of the Generative Pre-trained Transformer (GPT) model in Harvard's CS171 data visualization course. While previous studies have focused on GPT's ability to generate code for…

Human-Computer Interaction · Computer Science 2024-05-14 Chen Zhu-Tian , Chenyang Zhang , Qianwen Wang , Jakob Troidl , Simon Warchol , Johanna Beyer , Nils Gehlenborg , Hanspeter Pfister

Large Language Models generate complex reasoning chains that reveal their decision-making, yet verifying the faithfulness and harmlessness of these intermediate steps remains a critical unsolved problem. Existing auditing methods are…

Artificial Intelligence · Computer Science 2025-10-24 Morris Yu-Chao Huang , Zhen Tan , Mohan Zhang , Pingzhi Li , Zhuo Zhang , Tianlong Chen

The swift progress and widespread acceptance of artificial intelligence (AI) systems highlight a pressing requirement to comprehend both the capabilities and potential risks associated with AI. Given the linguistic complexity, cultural…

Computation and Language · Computer Science 2024-11-06 Emad A. Alghamdi , Reem I. Masoud , Deema Alnuhait , Afnan Y. Alomairi , Ahmed Ashraf , Mohamed Zaytoon

Large language models (LLMs) have shown great potential for the automatic generation of feedback in a wide range of computing contexts. However, concerns have been voiced around the privacy and ethical implications of sending student work…

Computation and Language · Computer Science 2024-05-09 Charles Koutcheme , Nicola Dainese , Sami Sarsa , Arto Hellas , Juho Leinonen , Paul Denny

The way users acquire information is undergoing a paradigm shift with the advent of ChatGPT. Unlike conventional search engines, ChatGPT retrieves knowledge from the model itself and generates answers for users. ChatGPT's impressive…

Cryptography and Security · Computer Science 2023-10-06 Xinyue Shen , Zeyuan Chen , Michael Backes , Yang Zhang

The capabilities of artificial intelligence systems have been advancing to a great extent, but these systems still struggle with failure modes, vulnerabilities, and biases. In this paper, we study the current state of the field, and present…

Cryptography and Security · Computer Science 2025-06-12 Xingli Fang , Jianwei Li , Varun Mulchandani , Jung-Eun Kim

This paper provides an introductory survey to GPT-3. We cover some of the historical development behind this technology, some of the key features of GPT-3, and discuss the machine learning model and the datasets used. We survey both…

Computation and Language · Computer Science 2022-12-05 Mingyu Zong , Bhaskar Krishnamachari
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