Authorship attribution in the era of llms: Problems, methodologies, and challenges
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
GenAI Content Detection Task 2: AI vs. Human--Academic Essay Authenticity Challenge
This paper presents a comprehensive overview of the first edition of the Academic Essay
Authenticity Challenge, organized as part of the GenAI Content Detection shared tasks …
Authenticity Challenge, organized as part of the GenAI Content Detection shared tasks …
Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Large Model (LM) agents, powered by large foundation models such as GPT-4 and DALL-E
2, represent a significant step towards achieving Artificial General Intelligence (AGI). LM …
2, represent a significant step towards achieving Artificial General Intelligence (AGI). LM …
Defending mutation-based adversarial text perturbation: a black-box approach
The proliferation of text generation applications in social networks has raised concerns
about the authenticity of online content. Large language models like GPTs can now produce …
about the authenticity of online content. Large language models like GPTs can now produce …
Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection
The rapid advancement in large language models (LLMs) has significantly enhanced their
ability to generate coherent and contextually relevant text, raising concerns about the …
ability to generate coherent and contextually relevant text, raising concerns about the …
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
Recent LLMs are able to generate high-quality multilingual texts, indistinguishable for
humans from authentic human-written ones. Research in machine-generated text detection …
humans from authentic human-written ones. Research in machine-generated text detection …
Beemo: Benchmark of Expert-edited Machine-generated Outputs
The rapid proliferation of large language models (LLMs) has increased the volume of
machine-generated texts (MGTs) and blurred text authorship in various domains. However …
machine-generated texts (MGTs) and blurred text authorship in various domains. However …
DAMAGE: Detecting Adversarially Modified AI Generated Text
E Masrour, B Emi, M Spero - arxiv preprint arxiv:2501.03437, 2025 - arxiv.org
AI humanizers are a new class of online software tools meant to paraphrase and rewrite AI-
generated text in a way that allows them to evade AI detection software. We study 19 AI …
generated text in a way that allows them to evade AI detection software. We study 19 AI …
Zero-Shot Machine-Generated Text Detection Using Mixture of Large Language Models
The dissemination of Large Language Models (LLMs), trained at scale, and endowed with
powerful text-generating abilities has vastly increased the threats posed by generative AI …
powerful text-generating abilities has vastly increased the threats posed by generative AI …
LLM Detectors Still Fall Short of Real World: Case of LLM-Generated Short News-Like Posts
With the emergence of widely available powerful LLMs, disinformation generated by large
Language Models (LLMs) has become a major concern. Historically, LLM detectors have …
Language Models (LLMs) has become a major concern. Historically, LLM detectors have …