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GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge
Recently there have been many shared tasks targeting the detection of generated text from
Large Language Models (LLMs). However, these shared tasks tend to focus either on cases …
Large Language Models (LLMs). However, these shared tasks tend to focus either on cases …
Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts
The rapid development of autoregressive Large Language Models (LLMs) has significantly
improved the quality of generated texts, necessitating reliable machine-generated text …
improved the quality of generated texts, necessitating reliable machine-generated text …
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
The capabilities of recent large language models (LLMs) to generate high-quality content
indistinguishable by humans from human-written texts rises many concerns regarding their …
indistinguishable by humans from human-written texts rises many concerns regarding their …
LuxVeri at GenAI Detection Task 1: Inverse Perplexity Weighted Ensemble for Robust Detection of AI-Generated Text across English and Multilingual Contexts
MK Mobin, MS Islam - arxiv preprint arxiv:2501.11914, 2025 - arxiv.org
This paper presents a system developed for Task 1 of the COLING 2025 Workshop on
Detecting AI-Generated Content, focusing on the binary classification of machine-generated …
Detecting AI-Generated Content, focusing on the binary classification of machine-generated …
Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking
The paper describes a system designed by Advacheck team to recognise machine-
generated and human-written texts in the monolingual subtask of GenAI Detection Task 1 …
generated and human-written texts in the monolingual subtask of GenAI Detection Task 1 …
[PDF][PDF] CIC-NLP at GenAI Detection Task 1: Advancing Multilingual Machine-Generated Text Detection
Abstract Machine-written texts are gradually becoming indistinguishable from human-
generated texts, leading to the need to use sophisticated methods to detect them. Team CIC …
generated texts, leading to the need to use sophisticated methods to detect them. Team CIC …
CIC-NLP at GenAI Detection Task 1: Advancing Multilingual Machine-Generated Text Detection
TO Abiola, TA Bizuneh, F Uroosa… - Proceedings of the …, 2025 - aclanthology.org
Abstract Machine-written texts are gradually becoming indistinguishable from human-
generated texts, leading to the need to use sophisticated methods to detect them. Team CIC …
generated texts, leading to the need to use sophisticated methods to detect them. Team CIC …
AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection
This paper presents a lightweight and efficient approach to AI-generated content detection
using small autoregressive fine-tuned decoders (AFDs) for secure, on-device deployment …
using small autoregressive fine-tuned decoders (AFDs) for secure, on-device deployment …
OSINT at GenAI Detection Task 1: Multilingual MGT Detection: Leveraging Cross-Lingual Adaptation for Robust LLMs Text Identification
S Agrahari, SR Singh - Proceedings of the 1stWorkshop on GenAI …, 2025 - aclanthology.org
Detecting AI-generated text has become in-creasingly prominent. This paper presents our
solution for the DAIGenC Task 1 Subtask 2, where we address the challenge of distin …
solution for the DAIGenC Task 1 Subtask 2, where we address the challenge of distin …
TurQUaz at GenAI Detection Task 1: Dr. Perplexity or: How I Learned to Stop Worrying and Love the Finetuning
This paper details our methods for addressing Task 1 of the GenAI Content Detection shared
tasks, which focus on distinguishing AI-generated text from human-written content. The task …
tasks, which focus on distinguishing AI-generated text from human-written content. The task …