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The power of natural language generation models has provoked a flurry of interest in automatic methods to detect if a piece of text is human or machine-authored. The problem so far has been framed in a standard supervised way and consists…

Computation and Language · Computer Science 2021-11-05 Matthias Gallé , Jos Rozen , Germán Kruszewski , Hady Elsahar

Large-scale language models (LMs) pretrained on massive corpora of text, such as GPT-2, are powerful open-domain text generators. However, as our systematic examination reveals, it is still challenging for such models to generate coherent…

Computation and Language · Computer Science 2021-04-15 Bowen Tan , Zichao Yang , Maruan AI-Shedivat , Eric P. Xing , Zhiting Hu

Recently, large language models such as GPT-2 have shown themselves to be extremely adept at text generation and have also been able to achieve high-quality results in many downstream NLP tasks such as text classification, sentiment…

Computation and Language · Computer Science 2019-11-22 Sam Witteveen , Martin Andrews

Large-scale, transformer-based language models such as GPT-2 are pretrained on diverse corpora scraped from the internet. Consequently, they are prone to generating non-normative text (i.e. in violation of social norms). We introduce a…

Computation and Language · Computer Science 2020-11-02 Xiangyu Peng , Siyan Li , Spencer Frazier , Mark Riedl

Large scale Pre-trained Language Models have proven to be very powerful approach in various Natural language tasks. OpenAI's GPT-2 \cite{radford2019language} is notable for its capability to generate fluent, well formulated, grammatically…

Computation and Language · Computer Science 2020-06-11 Chaitra Hegde , Shrikumar Patil

The recent success of large language models for text generation poses a severe threat to academic integrity, as plagiarists can generate realistic paraphrases indistinguishable from original work. However, the role of large autoregressive…

Computation and Language · Computer Science 2024-02-09 Jan Philip Wahle , Terry Ruas , Frederic Kirstein , Bela Gipp

Since language models produce fake text quickly and easily, there is an oversupply of such content in the public domain. The degree of sophistication and writing style has reached a point where differentiating between human authored and…

Computation and Language · Computer Science 2024-02-06 Dmytro Valiaiev

With the advent of fluent generative language models that can produce convincing utterances very similar to those written by humans, distinguishing whether a piece of text is machine-generated or human-written becomes more challenging and…

Computation and Language · Computer Science 2024-02-27 Niloofar Mireshghallah , Justus Mattern , Sicun Gao , Reza Shokri , Taylor Berg-Kirkpatrick

Automatic text generation based on neural language models has achieved performance levels that make the generated text almost indistinguishable from those written by humans. Despite the value that text generation can have in various…

Computation and Language · Computer Science 2022-05-02 Vijini Liyanage , Davide Buscaldi , Adeline Nazarenko

Large language models are increasingly capable of generating fluent-appearing text with relatively little task-specific supervision. But can these models accurately explain classification decisions? We consider the task of generating…

Computation and Language · Computer Science 2022-05-06 Sarah Wiegreffe , Jack Hessel , Swabha Swayamdipta , Mark Riedl , Yejin Choi

Large language models can produce convincing "fake text" in domains such as academic writing, product reviews, and political news. Many approaches have been investigated for the detection of artificially generated text. While this may seem…

Computation and Language · Computer Science 2025-06-27 Andrea McGlinchey , Peter J Barclay

Generative Artificial Intelligence (AI) has enabled the development of sophisticated models that are capable of producing high-caliber text, images, and other outputs through the utilization of large pre-trained models. Nevertheless,…

Computation and Language · Computer Science 2023-02-14 Jinlan Fu , See-Kiong Ng , Zhengbao Jiang , Pengfei Liu

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

Generative Pre-trained Transformers (GPTs) have recently been scaled to unprecedented sizes in the history of machine learning. These models, solely trained on the language modeling objective, have been shown to exhibit outstanding few-shot…

Computation and Language · Computer Science 2021-08-31 Jordi Armengol-Estapé , Ona de Gibert Bonet , Maite Melero

This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods. Through analysis of greedy search, beam search, top-k…

Computation and Language · Computer Science 2024-04-03 Rohit Pandey , Hetvi Waghela , Sneha Rakshit , Aparna Rangari , Anjali Singh , Rahul Kumar , Ratnadeep Ghosal , Jaydip Sen

The quality of artificially generated texts has considerably improved with the advent of transformers. The question of using these models to generate learning data for supervised learning tasks naturally arises. In this article, this…

Computation and Language · Computer Science 2021-10-26 Vincent Claveau , Antoine Chaffin , Ewa Kijak

Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved…

Computation and Language · Computer Science 2024-05-24 Fan Gao , Hang Jiang , Rui Yang , Qingcheng Zeng , Jinghui Lu , Moritz Blum , Dairui Liu , Tianwei She , Yuang Jiang , Irene Li

Large language models (LLMs) such as GPT, Claude, Gemini, and Grok have been deeply integrated into our daily life. They now support a wide range of tasks -- from dialogue and email drafting to assisting with teaching and coding, serving as…

Computation and Language · Computer Science 2026-01-13 Hongyi Zhou , Jin Zhu , Ying Yang , Chengchun Shi

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement…

Computation and Language · Computer Science 2023-06-06 Niful Islam , Debopom Sutradhar , Humaira Noor , Jarin Tasnim Raya , Monowara Tabassum Maisha , Dewan Md Farid

Some consider large-scale language models that can generate long and coherent pieces of text as dangerous, since they may be used in misinformation campaigns. Here we formulate large-scale language model output detection as a hypothesis…

Computation and Language · Computer Science 2020-02-11 Lav R. Varshney , Nitish Shirish Keskar , Richard Socher
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