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Generative artificial intelligence (AI), and in particular Large Language Models (LLMs), have exploded in popularity and attention since the release to the public of ChatGPT's Generative Pre-trained Transformer (GPT)-3.5 model in November…

Computers and Society · Computer Science 2024-07-25 Daniel Hopp

This study introduces GPTA, a Large Language Model assistance training framework, that enhances the training of downstream task models via prefix prompt. By minimizing data exposure to LLM, the framework addresses the security and legal…

Computation and Language · Computer Science 2024-04-02 Xiao Liu , Jiawei Zhang

Recently, Large Language Models (LLMs) have achieved amazing zero-shot learning performance over a variety of Natural Language Processing (NLP) tasks, especially for text generative tasks. Yet, the large size of LLMs often leads to the high…

Computation and Language · Computer Science 2023-09-21 Yukang Xie , Chengyu Wang , Junbing Yan , Jiyong Zhou , Feiqi Deng , Jun Huang

Large Language Models (LLMs) have demonstrated exceptional capabilities across various natural language processing tasks. Yet, many of these advanced LLMs are tailored for broad, general-purpose applications. In this technical report, we…

Generative pre-trained transformer (GPT) models have revolutionized the field of natural language processing (NLP) with remarkable performance in various tasks and also extend their power to multimodal domains. Despite their success, large…

Computation and Language · Computer Science 2023-08-29 Kaiyuan Gao , Sunan He , Zhenyu He , Jiacheng Lin , QiZhi Pei , Jie Shao , Wei Zhang

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

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains…

Computation and Language · Computer Science 2024-01-09 Vahid Ashrafimoghari , Necdet Gürkan , Jordan W. Suchow

Machine translation systems for high resource languages perform exceptionally well and produce high quality translations. Unfortunately, the vast majority of languages are not considered high resource and lack the quantity of parallel…

Computation and Language · Computer Science 2024-10-22 Jonathan Hus , Antonios Anastasopoulos

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

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

The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and…

Human-Computer Interaction · Computer Science 2023-06-27 Philippe J. Giabbanelli

This study evaluates the effectiveness of various large language models (LLMs) in performing tasks common among undergraduate computer science students. Although a number of research studies in the computing education community have…

Computers and Society · Computer Science 2024-04-04 Vibhor Agarwal , Madhav Krishan Garg , Sahiti Dharmavaram , Dhruv Kumar

In this paper, we compare general-purpose models, GPT-4-Turbo and Llama-3-8b, with special-purpose models--XLM-Roberta-large, mT5-large, and Llama-3-8b--that have been fine-tuned on specific tasks. We focus on seven classification and seven…

Computation and Language · Computer Science 2024-10-04 Samee Arif , Abdul Hameed Azeemi , Agha Ali Raza , Awais Athar

In this paper, we present a novel approach for distilling math word problem solving capabilities from large language models (LLMs) into smaller, more efficient student models. Our approach is designed to consider the student model's…

Machine Learning · Computer Science 2023-05-25 Zhenwen Liang , Wenhao Yu , Tanmay Rajpurohit , Peter Clark , Xiangliang Zhang , Ashwin Kaylan

With the increasing integration of Artificial Intelligence (AI) in academic problem solving, university students frequently alternate between traditional search engines like Google and large language models (LLMs) for information retrieval.…

Human-Computer Interaction · Computer Science 2025-10-21 Md. Faiyaz Abdullah Sayeedi , Md. Sadman Haque , Zobaer Ibn Razzaque , Robiul Awoul Robin , Sabila Nawshin

Foundational large language models (LLMs) can be instruction-tuned to perform open-domain question answering, facilitating applications like chat assistants. While such efforts are often carried out in a single language, we empirically…

Computation and Language · Computer Science 2024-02-01 Pinzhen Chen , Shaoxiong Ji , Nikolay Bogoychev , Andrey Kutuzov , Barry Haddow , Kenneth Heafield

An emerging method to cheaply improve a weaker language model is to finetune it on outputs from a stronger model, such as a proprietary system like ChatGPT (e.g., Alpaca, Self-Instruct, and others). This approach looks to cheaply imitate…

Computation and Language · Computer Science 2023-05-26 Arnav Gudibande , Eric Wallace , Charlie Snell , Xinyang Geng , Hao Liu , Pieter Abbeel , Sergey Levine , Dawn Song

Large Language Models (LLMs) like GPT-4 and LLaMA have shown incredible proficiency at natural language processing tasks and have even begun to excel at tasks across other modalities such as vision and audio. Despite their success, LLMs…

Computation and Language · Computer Science 2024-03-12 Michael Andersland

Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained…

Computation and Language · Computer Science 2023-10-25 Xiang Zhang , Senyu Li , Bradley Hauer , Ning Shi , Grzegorz Kondrak

Since the emergence of GPT-3, Large Language Models (LLMs) have caught the eyes of researchers, practitioners, and educators in the field of software engineering. However, there has been relatively little investigation regarding the…

Software Engineering · Computer Science 2024-06-11 Beian Wang , Chong Wang , Peng Liang , Bing Li , Cheng Zeng
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