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In recent years, the advent of the attention mechanism has significantly advanced the field of natural language processing (NLP), revolutionizing text processing and text generation. This has come about through transformer-based…

Computation and Language · Computer Science 2026-01-13 Zhiyao Zhang , Yazan Mash'Al , Yuhan Wu

Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making. Generative AI presents a new risk profile of persuasion due the…

The recent release of very large language models such as PaLM and GPT-4 has made an unprecedented impact in the popular media and public consciousness, giving rise to a mixture of excitement and fear as to their capabilities and potential…

As machine learning methods are deployed in real-world settings such as healthcare, legal systems, and social science, it is crucial to recognize how they shape social biases and stereotypes in these sensitive decision-making processes.…

Computation and Language · Computer Science 2021-06-25 Paul Pu Liang , Chiyu Wu , Louis-Philippe Morency , Ruslan Salakhutdinov

Despite speculation that recent large language models (LLMs) are likely to be used maliciously to improve the quality or scale of influence operations, uncertainty persists regarding the economic value that LLMs offer propagandists. This…

Computers and Society · Computer Science 2023-08-08 Micah Musser

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

The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and…

Information Retrieval · Computer Science 2026-02-12 Michele Garetto , Alessandro Cornacchia , Franco Galante , Emilio Leonardi , Alessandro Nordio , Alberto Tarable

Agentic AI systems powered by large language models (LLMs) and endowed with planning, tool use, memory, and autonomy, are emerging as powerful, flexible platforms for automation. Their ability to autonomously execute tasks across web,…

Artificial Intelligence · Computer Science 2026-04-07 Anshuman Chhabra , Shrestha Datta , Shahriar Kabir Nahin , Prasant Mohapatra

In this paper, we expand on our previous research of the potential for abuse of generative language models by assessing GPT-3. Experimenting with prompts representative of different types of extremist narrative, structures of social…

Computers and Society · Computer Science 2020-09-16 Kris McGuffie , Alex Newhouse

With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes domains, ensuring the trustworthiness, safety, and observability of these systems has become crucial. It is essential to evaluate and monitor AI…

Computation and Language · Computer Science 2024-07-19 Krishnaram Kenthapadi , Mehrnoosh Sameki , Ankur Taly

While deep generative models are showing exciting abilities in computer vision and natural language processing, their adoption in communication frameworks is still far underestimated. These methods are demonstrated to evolve solutions to…

Computation and Language · Computer Science 2024-01-17 Eleonora Grassucci , Jihong Park , Sergio Barbarossa , Seong-Lyun Kim , Jinho Choi , Danilo Comminiello

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…

Computation and Language · Computer Science 2024-10-07 Lifu Tu , Semih Yavuz , Jin Qu , Jiacheng Xu , Rui Meng , Caiming Xiong , Yingbo Zhou

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

The growing prevalence of conversational voice interfaces, powered by developments in both speech and language technologies, raises important questions about their influence on human communication. While written communication can signal…

Computers and Society · Computer Science 2025-06-10 Éva Székely , Jūra Miniota , Míša , Hejná

Artificial Intelligence (AI) is transforming all fields of knowledge and production. From surgery, autonomous driving, to image and video creation, AI seems to make possible hitherto unimaginable processes of automation and efficient…

Artificial Intelligence · Computer Science 2022-12-20 Frederic Guerrero-Sole

Machine learning approaches for speech enhancement are becoming increasingly expressive, enabling ever more powerful modifications of input signals. In this paper, we demonstrate that this expressiveness introduces a vulnerability: advanced…

Audio and Speech Processing · Electrical Eng. & Systems 2026-05-01 Rostislav Makarov , Lea Schönherr , Timo Gerkmann

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 language models are increasingly used for contract drafting and enhancement, creating a scenario where competing parties deploy different language models against each other. This introduces not only a game-theory challenge but…

Computation and Language · Computer Science 2025-01-03 Arinbjörn Kolbeinsson , Benedikt Kolbeinsson

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleading narratives online. Early work has found that language…

Computers and Society · Computer Science 2025-05-21 Francesco Salvi , Manoel Horta Ribeiro , Riccardo Gallotti , Robert West

The rapid rise of Large Language Models (LLMs) has created new disruptive possibilities for persuasive communication, enabling fully-automated, personalized, and interactive content generation at an unprecedented scale. In this paper, we…

Computation and Language · Computer Science 2026-04-22 Sander Noels , Alexander Rogiers , Maarten Buyl , Tijl De Bie