Papers
45 papers found
CNLP-NITS-PP at GenAI Detection Task 2: Leveraging DistilBERT and XLM-RoBERTa for Multilingual AI-Generated Text Detection
Annepaka Yadagiri, Reddi Mohana Krishna, Partha Pakray
Tesla at GenAI Detection Task 2: Fast and Scalable Method for Detection of Academic Essay Authenticity
Vijayasaradhi Indurthi, Vasudeva Varma
GenAI Content Detection Task 2: AI vs. Human – Academic Essay Authenticity Challenge
Shammur Absar Chowdhury, Hind Almerekhi, Mucahid Kutlu et al.
CNLP-NITS-PP at GenAI Detection Task 3: Cross-Domain Machine-Generated Text Detection Using DistilBERT Techniques
Sai Teja Lekkala, Annepaka Yadagiri, Mangadoddi Srikar Vardhan et al.
Leidos at GenAI Detection Task 3: A Weight-Balanced Transformer Approach for AI Generated Text Detection Across Domains
Abishek R. Edikala, Gregorios A. Katsios, Noelie Creaghe et al.
Pangram at GenAI Detection Task 3: An Active Learning Approach to Machine-Generated Text Detection
Bradley N. Emi, Max Spero, Elyas Masrour
LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models
MD. Kamrujjaman Mobin, Md Saiful Islam
BBN-U.Oregon’s ALERT system at GenAI Content Detection Task 3: Robust Authorship Style Representations for Cross-Domain Machine-Generated Text Detection
Hemanth Kandula, Chak Fai Li, Haoling Qiu et al.
Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation
Shifali Agrahari, Prabhat Mishra, Sujit Kumar
MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models
Matthieu Dubois, François Yvon, Pablo Piantanida
GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge
Liam Dugan, Andrew Zhu, Firoj Alam et al.
Structured Knowledge meets GenAI: A Framework for Logic-Driven Language Models
Farida Helmy Eldessouky, Nourhan Ehab, Carolin Schindler et al.
Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features
Areg Mikael Sarvazyan, José Ángel González, Marc Franco-salvador
DAMAGeR: Deploying Automatic and Manual Approaches to GenAI Red-teaming
Manish Nagireddy, Michael Feffer, Ioana Baldini
GAIfE: Using GenAI to Improve Literacy in Low-resourced Settings
Allahsera Auguste Tapo, Nouhoum Coulibaly, Seydou Diallo et al.
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
Alberto Purpura, Sahil Wadhwa, Jesse Zymet et al.
Genaios at SemEval-2024 Task 8: Detecting Machine-Generated Text by Mixing Language Model Probabilistic Features
Areg Mikael Sarvazyan, José Ángel González, Marc Franco-salvador
GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation
Pallav Koppisetti, Nitin Gupta, Kausik Lakkaraju et al.