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Without writing a single line of code by a human, an example Monte Carlo simulation based application for stochastic dependence modeling with copulas is developed using a state-of-the-art large language model (LLM) fine-tuned for…

Computation and Language · Computer Science 2023-04-03 Jan Górecki

Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering. Currently there is much debate, but…

Software Engineering · Computer Science 2024-05-22 Ranim Khojah , Mazen Mohamad , Philipp Leitner , Francisco Gomes de Oliveira Neto

Timely, personalized feedback is essential for students learning programming. LLM-powered tools like ChatGPT offer instant support, but reveal direct answers with code, which may hinder deep conceptual engagement. We developed CodeAid, an…

Human-Computer Interaction · Computer Science 2024-02-27 Majeed Kazemitabaar , Runlong Ye , Xiaoning Wang , Austin Z. Henley , Paul Denny , Michelle Craig , Tovi Grossman

Large language models (LLMs) and dialogue agents represent a significant shift in artificial intelligence (AI) research, particularly with the recent release of the GPT family of models. ChatGPT's generative capabilities and versatility…

Computers and Society · Computer Science 2024-10-28 Skyler Wang , Ned Cooper , Margaret Eby

Traditional end-of-quarter surveys often fail to provide instructors with timely, detailed, and actionable feedback about their teaching. In this paper, we explore how Large Language Model (LLM)-powered chatbots can reimagine the classroom…

Computers and Society · Computer Science 2025-08-19 Sai Siddartha Maram , Ulia Zaman , Magy Seif El-Nasr

The launch of ChatGPT at the end of 2022 generated large interest into possible applications of artificial intelligence in STEM education and among STEM professions. As a result many questions surrounding the capabilities of generative AI…

Computers and Society · Computer Science 2023-09-29 Matthew Frenkel , Hebah Emara

With the advent of large language models (LLMs), in both the open source and proprietary domains, attention is turning to how to exploit such artificial intelligence (AI) systems in assisting complex scientific tasks, such as material…

Human-Computer Interaction · Computer Science 2024-01-26 Yongtao Liu , Marti Checa , Rama K. Vasudevan

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

Computation and Language · Computer Science 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy

Prompt engineering has shown potential for improving translation quality in LLMs. However, the possibility of using translation concepts in prompt design remains largely underexplored. Against this backdrop, the current paper discusses the…

Computation and Language · Computer Science 2026-04-06 Sui He

Large Language Models (LLMs) have been gaining increasing attention and demonstrated promising performance across a variety of Software Engineering (SE) tasks, such as Automated Program Repair (APR), code summarization, and code completion.…

Software Engineering · Computer Science 2024-04-18 Quanjun Zhang , Tongke Zhang , Juan Zhai , Chunrong Fang , Bowen Yu , Weisong Sun , Zhenyu Chen

Pre-trained code models have emerged as crucial tools in various code intelligence tasks. However, their effectiveness depends on the quality of the pre-training dataset, particularly the human reference comments, which serve as a bridge…

Software Engineering · Computer Science 2023-12-27 Kang Yang , Xinjun Mao , Shangwen Wang , Tanghaoran Zhang , Bo Lin , Yanlin Wang , Yihao Qin , Zhang Zhang , Xiaoguang Mao

Participant recruitment based on unstructured medical texts such as clinical notes and radiology reports has been a challenging yet important task for the cohort establishment in clinical research. Recently, Large Language Models (LLMs)…

Computation and Language · Computer Science 2023-07-24 Zihan Guan , Zihao Wu , Zhengliang Liu , Dufan Wu , Hui Ren , Quanzheng Li , Xiang Li , Ninghao Liu

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots,…

Computation and Language · Computer Science 2025-02-25 Zhuoran Huang , Michael P. Berry , Christina Chwyl , Gary Hsieh , Jing Wei , Evan M. Forman

As Artificial Intelligence (AI) becomes increasingly integrated into education, university students preparing for English language tests are frequently shifting between traditional search engines like Google and large language models (LLMs)…

Human-Computer Interaction · Computer Science 2026-02-18 Tarek Rahman , Md Shaharia Hossen , Mark Protik Mondol , Jannatun Noor Mukta

Large language models (LLMs) are quickly being adopted in a wide range of learning experiences, especially via ubiquitous and broadly accessible chat interfaces like ChatGPT and Copilot. This type of interface is readily available to…

Computers and Society · Computer Science 2025-07-16 Allen Nie , Yash Chandak , Miroslav Suzara , Ali Malik , Juliette Woodrow , Matt Peng , Mehran Sahami , Emma Brunskill , Chris Piech

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

Recently, Large Language Models~(LLMs) such as ChatGPT have showcased remarkable abilities in solving general tasks, demonstrating the potential for applications in recommender systems. To assess how effectively LLMs can be used in…

Information Retrieval · Computer Science 2025-01-17 Lanling Xu , Junjie Zhang , Bingqian Li , Jinpeng Wang , Sheng Chen , Wayne Xin Zhao , Ji-Rong Wen

Dialogue State Tracking (DST) is of paramount importance in ensuring accurate tracking of user goals and system actions within task-oriented dialogue systems. The emergence of large language models (LLMs) such as GPT3 and ChatGPT has…

Computation and Language · Computer Science 2023-10-24 Yujie Feng , Zexin Lu , Bo Liu , Liming Zhan , Xiao-Ming Wu

The rapid adoption of Generative AI (GenAI) based on Large Language Models (LLMs) such as ChatGPT has recently and profoundly impacted education, offering transformative opportunities while raising significant concerns. In this study we…

Computers and Society · Computer Science 2024-12-24 Jérémie Sublime , Ilaria Renna

The release of ChatGPT in late 2022 caused a flurry of activity and concern in the academic and educational communities. Some see the tool's ability to generate human-like text that passes at least cursory inspections for factual accuracy…

Computers and Society · Computer Science 2025-04-18 Leo Leppänen , Lili Aunimo , Arto Hellas , Jukka K. Nurminen , Linda Mannila
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