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This paper presents a comprehensive and practical guide for practitioners and end-users working with Large Language Models (LLMs) in their downstream natural language processing (NLP) tasks. We provide discussions and insights into the…

计算与语言 · 计算机科学 2023-04-28 Jingfeng Yang , Hongye Jin , Ruixiang Tang , Xiaotian Han , Qizhang Feng , Haoming Jiang , Bing Yin , Xia Hu

Language models pre-trained on web-scale corpora demonstrate impressive capabilities on diverse downstream tasks. However, there is increasing concern whether such capabilities might arise from evaluation datasets being included in the…

计算与语言 · 计算机科学 2024-01-12 Minhao Jiang , Ken Ziyu Liu , Ming Zhong , Rylan Schaeffer , Siru Ouyang , Jiawei Han , Sanmi Koyejo

As large language models (LLMs) advance and become widespread, students increasingly turn to systems like ChatGPT for assistance with writing tasks. Educators are concerned with students' usage of ChatGPT beyond cheating; using ChatGPT may…

人机交互 · 计算机科学 2026-04-23 Andrew Jelson , Daniel Manesh , Alice Jang , Daniel Dunlap , Young-Ho Kim , Sang Won Lee

Large Language Models (LLMs), such as ChatGPT, are reshaping content creation and academic writing. This study investigates the impact of AI-assisted generative revisions on research manuscripts, focusing on heterogeneous adoption patterns…

计算与语言 · 计算机科学 2025-04-21 Cong William Lin , Wu Zhu

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

计算与语言 · 计算机科学 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

The introduction of ChatGPT has led to a significant increase in the utilization of Large Language Models (LLMs) for addressing downstream tasks. There's an increasing focus on cost-efficient training and deployment within this context.…

Generative AI offers a simple, prompt-based alternative to fine-tuning smaller BERT-style LLMs for text classification tasks. This promises to eliminate the need for manually labeled training data and task-specific model training. However,…

计算与语言 · 计算机科学 2024-08-19 Martin Juan José Bucher , Marco Martini

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…

计算机与社会 · 计算机科学 2025-04-18 Leo Leppänen , Lili Aunimo , Arto Hellas , Jukka K. Nurminen , Linda Mannila

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…

软件工程 · 计算机科学 2024-05-22 Ranim Khojah , Mazen Mohamad , Philipp Leitner , Francisco Gomes de Oliveira Neto

Recent advancements in large language models (LLMs) have led to the development of highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional performance in a variety of tasks, such as question answering, essay…

计算与语言 · 计算机科学 2023-04-12 Ruixiang Tang , Xiaotian Han , Xiaoqian Jiang , Xia Hu

The increasing use of Large Language Models (LLMs) in a large variety of domains has sparked worries about how easily they can perpetuate stereotypes and contribute to the generation of biased content. With a focus on gender and…

计算与语言 · 计算机科学 2025-07-28 Gioele Giachino , Marco Rondina , Antonio Vetrò , Riccardo Coppola , Juan Carlos De Martin

Large Language Models have spread rapidly since the release of ChatGPT in late 2022, accompanied by claims of major productivity gains but also concerns about job displacement. This paper examines the short-run labor market effects of LLM…

综合经济学 · 经济学 2025-09-22 Danqing Chen , Carina Kane , Austin Kozlowski , Nadav Kunievsky , James A. Evans

Large Language Models (LLMs), such as ChatGPT, have prompted academic concerns about their impact on academic writing. Existing studies have primarily examined LLM usage in academic writing through quantitative approaches, such as word…

计算与语言 · 计算机科学 2025-05-20 Tong Bao , Yi Zhao , Jin Mao , Chengzhi Zhang

The advent of transformer-based architectures and large language models (LLMs) have significantly advanced the performance of natural language processing (NLP) models. Since these LLMs are trained on huge corpuses of data from the web and…

计算与语言 · 计算机科学 2024-08-29 Arkadeep Baksi , Rahul Singh , Tarun Joshi

Based on one million arXiv papers submitted from May 2018 to January 2024, we assess the textual density of ChatGPT's writing style in their abstracts through a statistical analysis of word frequency changes. Our model is calibrated and…

计算与语言 · 计算机科学 2024-11-11 Mingmeng Geng , Roberto Trotta

Large Language models (LLMs), such as ChatGPT, have gained popularity in recent years with the advancement of Natural Language Processing (NLP), with use cases spanning many disciplines and daily lives as well. LLMs inherit explicit and…

计算与语言 · 计算机科学 2025-12-01 Fatima Kazi

This research article critically examines the potential risks and implications arising from the malicious utilization of large language models(LLM), focusing specifically on ChatGPT and Google's Bard. Although these large language models…

密码学与安全 · 计算机科学 2023-05-25 P. V. Sai Charan , Hrushikesh Chunduri , P. Mohan Anand , Sandeep K Shukla

ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

机器学习 · 计算机科学 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises, appointments and promotion. It is therefore important to investigate whether Large Language Models (LLMs)…

数字图书馆 · 计算机科学 2024-12-02 Mike Thelwall

Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance. These models come with clear limitations: they can produce inaccurate information, reinforce existing biases, and be easily misused. Yet,…

计算与语言 · 计算机科学 2025-07-04 Dmitry Kobak , Rita González-Márquez , Emőke-Ágnes Horvát , Jan Lause
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