M4: Multi-generator, multi-domain, and multi-lingual black-box machine-generated text detection
Large language models (LLMs) have demonstrated remarkable capability to generate fluent
responses to a wide variety of user queries. However, this has also raised concerns about …
responses to a wide variety of user queries. However, this has also raised concerns about …
Overview of the “voight-kampff” generative AI authorship verification task at PAN and ELOQUENT 2024
Abstract The “Voight-Kampff” Generative AI Authorship Verification task aims to determine
whether a text was generated by an AI or written by a human. As in its fictional inspiration, 1 …
whether a text was generated by an AI or written by a human. As in its fictional inspiration, 1 …
Overview of iberautextification at iberlef 2024: Detection and attribution of machine-generated text on languages of the iberian peninsula
[EN] This paper presents the overview of the IberAuTexTification shared taskas part of the
IberLEF 2024 Workshop in Iberian Languages Evaluation Forum, within the framework of …
IberLEF 2024 Workshop in Iberian Languages Evaluation Forum, within the framework of …
Llm-detectaive: a tool for fine-grained machine-generated text detection
M Abassy, K Elozeiri, A Aziz, MN Ta, RV Tomar… - arXiv preprint arXiv …, 2024 - arxiv.org
The ease of access to large language models (LLMs) has enabled a widespread of machine-
generated texts, and now it is often hard to tell whether a piece of text was human-written or …
generated texts, and now it is often hard to tell whether a piece of text was human-written or …
A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models
In the current era of social media and generative AI, an ability to automatically assess the
credibility of online social media content is of tremendous importance. Credibility …
credibility of online social media content is of tremendous importance. Credibility …
Robust ai-generated text detection by restricted embeddings
K Kuznetsov, E Tulchinskii, L Kushnareva… - arXiv preprint arXiv …, 2024 - arxiv.org
Growing amount and quality of AI-generated texts makes detecting such content more
difficult. In most real-world scenarios, the domain (style and topic) of generated data and the …
difficult. In most real-world scenarios, the domain (style and topic) of generated data and the …
[PDF][PDF] A verifying generative text authorship model with regularized dropout
Generative AI authorship verification aims to identify the text authored by a human within a
given pair of texts. This paper presents our method for the PAN 2024 Generative AI …
given pair of texts. This paper presents our method for the PAN 2024 Generative AI …
Genaios at semeval-2024 task 8: Detecting machine-generated text by mixing language model probabilistic features
AM Sarvazyan, JÁ González… - Proceedings of the 18th …, 2024 - aclanthology.org
This paper describes the participation of the Genaios team in the monolingual track of
Subtask A at SemEval-2024 Task 8. Our best system, LLMixtic, is a Transformer Encoder …
Subtask A at SemEval-2024 Task 8. Our best system, LLMixtic, is a Transformer Encoder …
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
X Guo, S Zhang, Y He, T Zhang, W Feng… - arXiv preprint arXiv …, 2024 - arxiv.org
Current techniques for detecting AI-generated text are largely confined to manual feature
crafting and supervised binary classification paradigms. These methodologies typically lead …
crafting and supervised binary classification paradigms. These methodologies typically lead …
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 …