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Generative AI has gained a significant foothold in the creative and artistic sectors. In this context, the concept of creative work is influenced by discourses originating from technological stakeholders and mainstream media. The framing of…

Computers and Society · Computer Science 2025-02-07 Baptiste Caramiaux , Kate Crawford , Q. Vera Liao , Gonzalo Ramos , Jenny Williams

While contemporary large language models (LLMs) are increasingly capable in isolation, there are still many difficult problems that lie beyond the abilities of a single LLM. For such tasks, there is still uncertainty about how best to take…

Artificial Intelligence · Computer Science 2026-02-27 Ryan Liu , Dilip Arumugam , Cedegao E. Zhang , Sean Escola , Xaq Pitkow , Thomas L. Griffiths

Recent advancements in large language models (LLMs) have significantly enhanced capabilities in natural language processing and artificial intelligence. These models, including GPT-3.5 and LLaMA-2, have revolutionized text generation,…

Computation and Language · Computer Science 2024-02-06 Yunhong He , Jianling Qiu , Wei Zhang , Zhengqing Yuan

Generative Artificial Intelligence (AI), such as large language models (LLMs), has become a transformative force across science, industry, and society. As these systems grow in popularity, web data becomes increasingly interwoven with this…

Machine Learning · Computer Science 2026-02-19 Kevin Wang , Hongqian Niu , Didong Li

Gaining insight into the potential negative impacts of emerging Artificial Intelligence (AI) technologies in society is a challenge for implementing anticipatory governance approaches. One approach to produce such insight is to use Large…

Computation and Language · Computer Science 2024-05-22 Mowafak Allaham , Nicholas Diakopoulos

Lack of moderation in online communities enables participants to incur in personal aggression, harassment or cyberbullying, issues that have been accentuated by extremist radicalisation in the contemporary post-truth politics scenario. This…

Computation and Language · Computer Science 2018-01-08 Nestor Rodriguez , Sergio Rojas-Galeano

The global crisis of language endangerment meets a technological turning point as Generative AI (GenAI) and Large Language Models (LLMs) unlock new frontiers in automating corpus creation, transcription, translation, and tutoring. However,…

Computation and Language · Computer Science 2025-05-20 Vincent Koc

Recent advances in large pre-trained language models have demonstrated strong results in generating natural languages and significantly improved performances for many natural language generation (NLG) applications such as machine…

Computation and Language · Computer Science 2022-09-27 Nanyun Peng

The advent of large pre-trained generative language models has provided a common framework for AI story generation via sampling the model to create sequences that continue the story. However, sampling alone is insufficient for story…

Computation and Language · Computer Science 2021-12-17 Amal Alabdulkarim , Winston Li , Lara J. Martin , Mark O. Riedl

Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools they may risk causing a variety of…

Human-Computer Interaction · Computer Science 2025-03-21 Kowe Kadoma , Danaé Metaxa , Mor Naaman

With the continuous evolution of Large Language Models (LLMs), LLM-based agents have advanced beyond passive chatbots to become autonomous cyber entities capable of performing complex tasks, including web browsing, malicious code and…

Networking and Internet Architecture · Computer Science 2025-05-28 Minrui Xu , Jiani Fan , Xinyu Huang , Conghao Zhou , Jiawen Kang , Dusit Niyato , Shiwen Mao , Zhu Han , Xuemin , Shen , Kwok-Yan Lam

Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and…

Computation and Language · Computer Science 2025-06-24 Weixin Liang

While state-of-the-art language models have achieved impressive results, they remain susceptible to inference-time adversarial attacks, such as adversarial prompts generated by red teams arXiv:2209.07858. One approach proposed to improve…

Computation and Language · Computer Science 2024-01-12 Steffi Chern , Zhen Fan , Andy Liu

The recent surge of generative AI has been fueled by the generative power of diffusion probabilistic models and the scalable capabilities of large language models. Despite their potential, it remains elusive whether diffusion language…

Computation and Language · Computer Science 2025-02-25 Jiasheng Ye , Zaixiang Zheng , Yu Bao , Lihua Qian , Quanquan Gu

Interest in the concept of AI-driven harmful manipulation is growing, yet current approaches to evaluating it are limited. This paper introduces a framework for evaluating harmful AI manipulation via context-specific human-AI interaction…

Generative AI systems increasingly expose powerful reasoning and image refinement capabilities through user-facing chatbot interfaces. In this work, we show that the na\"ive exposure of such capabilities fundamentally undermines modern…

Cryptography and Security · Computer Science 2026-03-12 Sunpill Kim , Chanwoo Hwang , Minsu Kim , Jae Hong Seo

Generative AI models, including large language models and multimodal models that include text and other media, are on the cusp of transforming many aspects of modern life, including entertainment, education, civic life, the arts, and a…

Computers and Society · Computer Science 2023-04-05 Meredith Ringel Morris

Generative Artificial Intelligence constitutes a new wave of automation. There is broad agreement among economists that humanity is potentially entering into a period of profound change. However, significant uncertainties and disagreements…

General Economics · Economics 2024-08-27 Caleb Peppiatt

Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society. However, due to their inherent opaqueness, some recently raised concerns about using neural models are starting to be taken…

Computation and Language · Computer Science 2020-05-28 Haochen Liu , Zhiwei Wang , Tyler Derr , Jiliang Tang

With the proliferation of social media, there has been a sharp increase in offensive content, particularly targeting vulnerable groups, exacerbating social problems such as hatred, racism, and sexism. Detecting offensive language use is…

Computation and Language · Computer Science 2023-12-05 Toygar Tanyel , Besher Alkurdi , Serkan Ayvaz