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The use of large language models (LLMs) in natural language processing (NLP) tasks is rapidly increasing, leading to changes in how researchers approach problems in the field. To fully utilize these models' abilities, a better understanding…

计算与语言 · 计算机科学 2023-11-07 Bishal Santra , Sakya Basak , Abhinandan De , Manish Gupta , Pawan Goyal

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

软件工程 · 计算机科学 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

Large Language Models (LLMs) have demonstrated a powerful ability for text generation. However, achieving optimal results with a given prompt or instruction can be challenging, especially for billion-sized models. Additionally, undesired…

计算与语言 · 计算机科学 2024-10-07 Lifu Tu , Semih Yavuz , Jin Qu , Jiacheng Xu , Rui Meng , Caiming Xiong , Yingbo Zhou

Large Language Models (LLMs),such as ChatGPT, are increasingly used in research, ranging from simple writing assistance to complex data annotation tasks. Recently, some research has suggested that LLMs may even be able to simulate human…

人工智能 · 计算机科学 2025-08-14 Sarah Schröder , Thekla Morgenroth , Ulrike Kuhl , Valerie Vaquet , Benjamin Paaßen

Large language models (LLMs) have revolutionized AI, but are constrained by limited context windows, hindering their utility in tasks like extended conversations and document analysis. To enable using context beyond limited context windows,…

人工智能 · 计算机科学 2024-02-13 Charles Packer , Sarah Wooders , Kevin Lin , Vivian Fang , Shishir G. Patil , Ion Stoica , Joseph E. Gonzalez

Large language models (LLMs) have been recently leveraged as training data generators for various natural language processing (NLP) tasks. While previous research has explored different approaches to training models using generated data,…

计算与语言 · 计算机科学 2023-10-19 Yue Yu , Yuchen Zhuang , Jieyu Zhang , Yu Meng , Alexander Ratner , Ranjay Krishna , Jiaming Shen , Chao Zhang

This paper presents an innovative exploration of the application potential of large language models (LLM) in addressing the challenging task of automatically generating behavior trees (BTs) for complex tasks. The conventional manual BT…

计算与语言 · 计算机科学 2024-01-17 Fu Li , Xueying Wang , Bin Li , Yunlong Wu , Yanzhen Wang , Xiaodong Yi

The role of large language models (LLMs) in enterprise modeling has recently started to shift from academic research to that of industrial applications. Thereby, LLMs represent a further building block for the machine-supported generation…

多智能体系统 · 计算机科学 2025-01-08 Benedikt Reitemeyer , Hans-Georg Fill

Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of the ChatGPT. Many believe that they have the potential…

软件工程 · 计算机科学 2024-02-22 Wei Wang , Huilong Ning , Gaowei Zhang , Libo Liu , Yi Wang

A significant application of Large Language Models (LLMs), like ChatGPT, is their deployment as chat agents, which respond to human inquiries across a variety of domains. While current LLMs proficiently answer general questions, they often…

计算与语言 · 计算机科学 2024-04-16 Lang Cao

Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the…

Social Media and Internet have the potential to be exploited as a source of opinion to enrich Decision Making solutions. Crowd Decision Making (CDM) is a methodology able to infer opinions and decisions from plain texts, such as reviews…

人工智能 · 计算机科学 2025-06-04 David Herrera-Poyatos , Cristina Zuheros , Rosana Montes , Francisco Herrera

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…

人机交互 · 计算机科学 2023-06-27 Philippe J. Giabbanelli

Large language models(LLMS)have shown excellent text generation capabilities, capable of generating fluent human-like responses for many downstream tasks. However, applying large language models to real-world critical tasks remains…

计算与语言 · 计算机科学 2023-07-21 Le Xiao , Xin Shan

An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussion, to potentially better engage students than standard…

The future of conversational agents will provide users with personalized information responses. However, a significant challenge in developing models is the lack of large-scale dialogue datasets that span multiple sessions and reflect…

信息检索 · 计算机科学 2024-05-07 Hideaki Joko , Shubham Chatterjee , Andrew Ramsay , Arjen P. de Vries , Jeff Dalton , Faegheh Hasibi

Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing…

人机交互 · 计算机科学 2024-08-06 Liwenhan Xie , Chengbo Zheng , Haijun Xia , Huamin Qu , Chen Zhu-Tian

Effective communication is vital in healthcare, especially across language barriers, where non-verbal cues and gestures are critical. This paper presents a privacy-preserving vision-language framework for medical interpreter robots that…

机器人学 · 计算机科学 2026-03-09 Thanh-Tung Ngo , Emma Murphy , Robert J. Ross

Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show exceptional proficiency in context understanding and response generation. However, despite their impressive capabilities, they still possess limitations,…

计算与语言 · 计算机科学 2023-10-17 Yang Deng , Lizi Liao , Liang Chen , Hongru Wang , Wenqiang Lei , Tat-Seng Chua