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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…

Computation and Language · Computer Science 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,…

Computers and Society · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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,…

Human-Computer Interaction · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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…

Social and Information Networks · Computer Science 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…

Computation and Language · Computer Science 2026-02-05 Dominik Macko , Aashish Anantha Ramakrishnan , Jason Samuel Lucas , Robert Moro , Ivan Srba , Adaku Uchendu , Dongwon Lee

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…

Physics Education · Physics 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…

Computation and Language · Computer Science 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…

Computers and Society · Computer Science 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…

Machine Learning · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 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…

Computation and Language · Computer Science 2026-03-03 Edwin Roland , Richard Jean So
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