Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text

12 July 2024

Papers citing "Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text"

8 / 8 papers shown

Title
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution Lucio La Cava Andrea Tagarelli DeLMO VLM 48 0 0 15 Apr 2025
Could AI Trace and Explain the Origins of AI-Generated Images and Text? Hongchao Fang Yixin Liu R. Xu Can Qin Y. Liu Feng Liu Lichao Sun Dongwon Lee Lifu Huang Wenpeng Yin DeLMO 51 0 0 05 Apr 2025
EAGLE: A Domain Generalization Framework for AI-generated Text Detection Amrita Bhattacharjee Raha Moraffah Joshua Garland Huan Liu DeLMO 22 2 0 23 Mar 2024
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs Zae Myung Kim Kwang Hee Lee Preston Zhu Vipul Raheja Dongyeop Kang DeLMO 16 2 0 16 Feb 2024
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models Lucio La Cava Andrea Tagarelli LLMAG AI4CE 44 12 0 13 Jan 2024
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification J. Chen Richong Zhang Yongyi Mao Jie Xue 14 78 0 16 May 2023
Robust Multi-bit Natural Language Watermarking through Invariant Features Kiyoon Yoo Wonhyuk Ahn Jiho Jang Nojun Kwak WaLM 128 47 0 03 May 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 197 2,232 0 22 Mar 2023