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Previous learning-based vulnerability detection methods relied on either medium-sized pre-trained models or smaller neural networks from scratch. Recent advancements in Large Pre-Trained Language Models (LLMs) have showcased remarkable…

Software Engineering · Computer Science 2024-01-30 Xin Zhou , Ting Zhang , David Lo

Large Language Models (LLMs) have shown significant advances in the past year. In addition to new versions of GPT and Llama, several other LLMs have been introduced recently. Some of these are open models available for download and…

Computation and Language · Computer Science 2024-08-01 Ravindu Jayakody , Gihan Dias

Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without…

Computation and Language · Computer Science 2024-04-23 Yilin Gao , Sai Kumar Arava , Yancheng Li , James W. Snyder

The creation of instruction data and evaluation benchmarks for serving Large language models often involves enormous human annotation. This issue becomes particularly pronounced when rapidly developing such resources for a non-English…

Computation and Language · Computer Science 2024-03-07 Yikun Sun , Zhen Wan , Nobuhiro Ueda , Sakiko Yahata , Fei Cheng , Chenhui Chu , Sadao Kurohashi

Large Language Models (LLMs) have demonstrated promise in medical knowledge assessments, yet their practical utility in real-world clinical decision-making remains underexplored. In this study, we evaluated the performance of three…

Computation and Language · Computer Science 2025-12-30 Mengdi Chai , Ali R. Zomorrodi

Recently, large language models (LLMs) fine-tuned to follow human instruction have exhibited significant capabilities in various English NLP tasks. However, their performance in grammatical error correction (GEC) tasks, particularly in…

Artificial Intelligence · Computer Science 2023-08-10 Sang Yun Kwon , Gagan Bhatia , El Moatez Billah Nagoud , Muhammad Abdul-Mageed

Large Language Models (LLMs) have revolutionized the field of Natural Language Processing thanks to their ability to reuse knowledge acquired on massive text corpora on a wide variety of downstream tasks, with minimal (if any) tuning steps.…

Computation and Language · Computer Science 2024-07-12 Flavio Petruzzellis , Alberto Testolin , Alessandro Sperduti

This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for more low-resource languages remains an open question. We…

The dream of achieving a student-teacher ratio of 1:1 is closer than ever thanks to the emergence of large language models (LLMs). One potential application of these models in the educational field would be to provide feedback to students…

Computers and Society · Computer Science 2025-05-06 Marc Ballestero-Ribó , Daniel Ortiz-Martínez

This research explores the integration of chatbot technology powered by GPT-3.5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation. It delves into the design, implementation, and…

Computers and Society · Computer Science 2024-03-25 Achraf Hsain , Hamza El Housni

The rapid advancement of Large Language Models (LLMs) in the realm of mathematical reasoning necessitates comprehensive evaluations to gauge progress and inspire future directions. Existing assessments predominantly focus on problem-solving…

Computation and Language · Computer Science 2024-06-05 Xiaoyuan Li , Wenjie Wang , Moxin Li , Junrong Guo , Yang Zhang , Fuli Feng

Large language models (LLMs) are a special class of pretrained language models obtained by scaling model size, pretraining corpus and computation. LLMs, because of their large size and pretraining on large volumes of text data, exhibit…

Computation and Language · Computer Science 2023-10-20 Katikapalli Subramanyam Kalyan

OpenAI's ChatGPT (GPT-4 and GPT-4o) and other Large Language Models (LLMs) like Microsoft's Copilot, Google's Gemini 1.5 Pro, and Antrophic's Claude 3.5 Sonnet can be effectively used in various phases of scientific research. Their…

Artificial Intelligence · Computer Science 2024-09-24 Goran Bubaš

The rapid advancements in large language models (LLMs) have greatly expanded the potential for automated code-related tasks. Two primary methodologies are used in this domain: prompt engineering and fine-tuning. Prompt engineering involves…

Software Engineering · Computer Science 2025-02-21 Jiho Shin , Clark Tang , Tahmineh Mohati , Maleknaz Nayebi , Song Wang , Hadi Hemmati

The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the intrinsic complexity of LLMs, effective prompting is more…

Large language models (LLMs) have shown remarkable abilities to generate code, however their ability to develop software for embedded systems, which requires cross-domain knowledge of hardware and software has not been studied. In this…

Software Engineering · Computer Science 2023-11-23 Zachary Englhardt , Richard Li , Dilini Nissanka , Zhihan Zhang , Girish Narayanswamy , Joseph Breda , Xin Liu , Shwetak Patel , Vikram Iyer

Large Language Models (LLMs) pre-trained on multilingual data have revolutionized natural language processing research, by transitioning from languages and task specific model pipelines to a single model adapted on a variety of tasks.…

Computation and Language · Computer Science 2025-01-31 Munief Hassan Tahir , Sana Shams , Layba Fiaz , Farah Adeeba , Sarmad Hussain

This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate…

Human-Computer Interaction · Computer Science 2024-05-24 Heinrich Peters , Moran Cerf , Sandra C. Matz

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…

Computation and Language · Computer Science 2024-01-25 Jie Tian , Jixin Hou , Zihao Wu , Peng Shu , Zhengliang Liu , Yujie Xiang , Beikang Gu , Nicholas Filla , Yiwei Li , Ning Liu , Xianyan Chen , Keke Tang , Tianming Liu , Xianqiao Wang

The impressive development of large language models (LLMs) is expanding into the realm of large multimodal models (LMMs), which incorporate multiple types of data beyond text. However, the nature of multimodal models leads to significant…

Computation and Language · Computer Science 2024-08-05 Dongjae Shin , Hyeonseok Lim , Inho Won , Changsu Choi , Minjun Kim , Seungwoo Song , Hangyeol Yoo , Sangmin Kim , Kyungtae Lim