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Pretraining NLP models with variants of Masked Language Model (MLM) objectives has recently led to a significant improvements on many tasks. This paper examines the benefits of pretrained models as a function of the number of training…

计算与语言 · 计算机科学 2020-06-17 Sinong Wang , Madian Khabsa , Hao Ma

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

The universal availability of ChatGPT and other similar tools since late 2022 has prompted tremendous public excitement and experimental effort about the potential of large language models (LLMs) to improve learning experience and outcomes,…

计算机与社会 · 计算机科学 2024-11-05 Renzhe Yu , Zhen Xu , Sky CH-Wang , Richard Arum

Generative large language models (LLMs) have become central to everyday life, producing human-like text across diverse domains. A growing body of research investigates whether these models also exhibit personality- and demographic-like…

计算与语言 · 计算机科学 2025-10-14 Dana Sotto Porat , Ella Rabinovich

The introduction of Artificial Intelligence (AI) generative language models such as GPT (Generative Pre-trained Transformer) and tools such as ChatGPT has triggered a revolution that can transform how text is generated. This has many…

计算与语言 · 计算机科学 2025-03-17 Pedro Reviriego , Javier Conde , Elena Merino-Gómez , Gonzalo Martínez , José Alberto Hernández

Large Language Models (LLMs) possess an extraordinary capability to produce text that is not only coherent and contextually relevant but also strikingly similar to human writing. They adapt to various styles and genres, producing content…

计算与语言 · 计算机科学 2025-07-08 Chinnappa Guggilla , Budhaditya Roy , Trupti Ramdas Chavan , Abdul Rahman , Edward Bowen

Evaluating the quality of generated text is a challenging task in NLP, due to the inherent complexity and diversity of text. Recently, large language models (LLMs) have garnered significant attention due to their impressive performance in…

计算与语言 · 计算机科学 2023-09-19 Yi Chen , Rui Wang , Haiyun Jiang , Shuming Shi , Ruifeng Xu

We investigate the role of large language models (LLMs) in supporting mental health by analyzing Reddit posts and comments about mental health conversations with ChatGPT. Our findings reveal that users value ChatGPT as a safe,…

人机交互 · 计算机科学 2025-10-28 Kyuha Jung , Gyuho Lee , Yuanhui Huang , Yunan Chen

Recent research highlights the significant potential of ChatGPT for text annotation in social science research. However, ChatGPT is a closed-source product which has major drawbacks with regards to transparency, reproducibility, cost, and…

计算与语言 · 计算机科学 2025-02-26 Ross Deans Kristensen-McLachlan , Miceal Canavan , Márton Kardos , Mia Jacobsen , Lene Aarøe

Gender bias in artificial intelligence (AI) and natural language processing has garnered significant attention due to its potential impact on societal perceptions and biases. This research paper aims to analyze gender bias in Large Language…

计算与语言 · 计算机科学 2023-09-04 Vishesh Thakur

While there is an increased discourse on large language models (LLMs) like ChatGPT and DeepSeek, there is no comprehensive understanding of how users of online platforms, like Reddit, perceive these models. This is an important omission…

社会与信息网络 · 计算机科学 2025-02-27 Krishnaveni Katta

Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. While humans struggle to distinguish LLM-generated content from…

The paper aims to fulfil three main functions: (1) to serve as an introduction for the physics education community to the functioning of Large Language Models (LLMs), (2) to present a series of illustrative examples demonstrating how…

物理教育 · 物理学 2024-01-31 Giulia Polverini , Bor Gregorcic

This paper addresses debiasing in news editing and evaluates the effectiveness of conversational Large Language Models in this task. We designed an evaluation checklist tailored to news editors' perspectives, obtained generated texts from…

计算与语言 · 计算机科学 2024-04-10 Ipek Baris Schlicht , Defne Altiok , Maryanne Taouk , Lucie Flek

As large language models (LLMs) like ChatGPT have gained traction, an increasing number of news websites have begun utilizing them to generate articles. However, not only can these language models produce factually inaccurate articles on…

计算机与社会 · 计算机科学 2024-03-21 Hans W. A. Hanley , Zakir Durumeric

Large Language Models (LLM) are already widely used to generate content for a variety of online platforms. As we are not able to safely distinguish LLM-generated content from human-produced content, LLM-generated content is used to train…

机器学习 · 计算机科学 2024-06-18 Martin Briesch , Dominik Sobania , Franz Rothlauf

Large language models (LLMs) such as ChatGPT are increasingly being used for various use cases, including text content generation at scale. Although detection methods for such AI-generated text exist already, we investigate ChatGPT's…

计算与语言 · 计算机科学 2023-08-21 Amrita Bhattacharjee , Huan Liu

The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionizing education, research, and practice. However, distinguishing between human-written and AI-generated text has become…

计算与语言 · 计算机科学 2023-11-14 Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew

Large language models (LLMs), such as ChatGPT, have shown remarkable abilities in natural language processing, opening new avenues in psychological research. This study explores whether LLMs can predict human memory performance in tasks…

计算与语言 · 计算机科学 2025-11-25 Markus Huff , Elanur Ulakçı

Generative models, like the one in ChatGPT, are powered by their training data. The models are simply next-word predictors, based on patterns learned from vast amounts of pre-existing text. Since the first generation of GPT, it is striking…

计算与语言 · 计算机科学 2026-03-03 Edwin Roland , Richard Jean So