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Improvement and adoption of generative machine learning models is rapidly accelerating, as exemplified by the popularity of LLMs (Large Language Models) for text, and diffusion models for image generation. As generative models become…

机器学习 · 计算机科学 2024-08-30 Matteo Marchi , Stefano Soatto , Pratik Chaudhari , Paulo Tabuada

Large language models (LLMs) are increasingly used in the creation of online content, creating feedback loops as subsequent generations of models will be trained on this synthetic data. Such loops were shown to lead to distribution shifts -…

机器学习 · 计算机科学 2025-12-29 Grgur Kovač , Jérémy Perez , Rémy Portelas , Peter Ford Dominey , Pierre-Yves Oudeyer

What happens if we train a new Large Language Model (LLM) using data that are at least partially generated by other LLMs? The explosive success of LLMs means that a substantial amount of content online will be generated by LLMs rather than…

计算与语言 · 计算机科学 2024-07-26 Jinghui Zhang , Dandan Qiao , Mochen Yang , Qiang Wei

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) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

计算与语言 · 计算机科学 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

分布式、并行与集群计算 · 计算机科学 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in…

软件工程 · 计算机科学 2024-03-19 Kailun Jin , Chung-Yu Wang , Hung Viet Pham , Hadi Hemmati

The rampant spread of fake news has adversely affected society, resulting in extensive research on curbing its spread. As a notable milestone in large language models (LLMs), ChatGPT has gained significant attention due to its exceptional…

计算与语言 · 计算机科学 2024-04-09 Yue Huang , Lichao Sun

Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triumph of…

计算与语言 · 计算机科学 2023-04-06 Oluwatosin Ogundare , Gustavo Quiros Araya

Recent advancements in Large Language Models (LLMs), such as ChatGPT and LLaMA, have significantly transformed Natural Language Processing (NLP) with their outstanding abilities in text generation, summarization, and classification.…

计算与语言 · 计算机科学 2024-08-12 Md Nazmus Sakib , Md Athikul Islam , Royal Pathak , Md Mashrur Arifin

Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which…

计算与语言 · 计算机科学 2023-09-15 Nathaniel R. Robinson , Perez Ogayo , David R. Mortensen , Graham Neubig

Generative Large Language Models (gLLMs), such as ChatGPT, are increasingly being used in communication research for content analysis. Studies show that gLLMs can outperform both crowd workers and trained coders, such as research…

人工智能 · 计算机科学 2025-10-29 Daria Kravets-Meinke , Hannah Schmid-Petri , Sonja Niemann , Ute Schmid

Large Language Models (LLMs) are increasingly deployed in real-world applications where users engage in extended, mixed-topic conversations that depend on prior context. Yet, their reliability under realistic multi-turn interactions remains…

计算与语言 · 计算机科学 2026-03-03 Jiyoon Myung

In this paper, we explore the challenges inherent to Large Language Models (LLMs) like GPT-4, particularly their propensity for hallucinations, logic mistakes, and incorrect conclusions when tasked with answering complex questions. The…

计算与语言 · 计算机科学 2023-12-22 Xiang Li , Haoran Tang , Siyu Chen , Ziwei Wang , Anurag Maravi , Marcin Abram

Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level machine translation (MT) as a testbed, this paper provides…

计算与语言 · 计算机科学 2023-10-25 Longyue Wang , Chenyang Lyu , Tianbo Ji , Zhirui Zhang , Dian Yu , Shuming Shi , Zhaopeng Tu

Large Language Models (LLMs) such as ChatGPT have received enormous attention over the past year and are now used by hundreds of millions of people every day. The rapid adoption of this technology naturally raises questions about the…

人工智能 · 计算机科学 2024-03-15 Jonathan Shaki , Sarit Kraus , Michael Wooldridge

LLMs are not generally able to adjust the length of their outputs based on strict length requirements, a capability that would improve their usefulness in applications that require adherence to diverse user and system requirements. We…

计算与语言 · 计算机科学 2025-02-27 Diana Marie Schenke , Timo Baumann

The exponential growth of large language models (LLMs) like ChatGPT has revolutionized artificial intelligence, offering unprecedented capabilities in natural language processing. However, the extensive computational resources required for…

计算与语言 · 计算机科学 2025-02-25 Ashhadul Islam , Samir Brahim Belhaouari , Amine Bermak

The release of advanced Large Language Models (LLMs) such as ChatGPT and Copilot is changing the way text is created and may influence the content that we find on the web. This study investigated whether the release of these two popular…

计算与语言 · 计算机科学 2025-11-21 Chris Brogly , Connor McElroy

Large language models (LLMs) have increased the demand for personalized and stylish content generation. However, closed-source models like GPT-4 present limitations in optimization opportunities, while the substantial training costs and…

计算与语言 · 计算机科学 2024-10-07 Chenning Xu , Fangxun Shu , Dian Jin , Jinghao Wei , Hao Jiang