Search Results for author: Ge Luo

Found 6 papers, 3 papers with code

PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment

1 code implementation COLING 2022 Ge Luo, Hebi Li, Youbiao He, Forrest Sheng Bao

Evaluating machine-generated summaries without a human-written reference summary has been a need for a long time.

Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image Models

no code implementations22 Nov 2023 Ge Luo, Junqiang Huang, Manman Zhang, Zhenxing Qian, Sheng Li, Xinpeng Zhang

In various fine-tune scenarios and against watermark attack methods, our research confirms that analyzing the distribution of watermarks in artificially generated images reliably detects unauthorized mimicry.

Generative Steganographic Flow

no code implementations10 May 2023 Ping Wei, Ge Luo, Qi Song, Xinpeng Zhang, Zhenxing Qian, Sheng Li

In the forward mapping, secret data is hidden in the input latent of Glow model to generate stego images.

Image Generation

Generative Steganography Network

no code implementations28 Jul 2022 Ping Wei, Sheng Li, Xinpeng Zhang, Ge Luo, Zhenxing Qian, Qing Zhou

A new steganographic approach called generative steganography (GS) has emerged recently, in which stego images (images containing secret data) are generated from secret data directly without cover media.

Image Generation Steganalysis

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling

1 code implementation NAACL 2022 Forrest Sheng Bao, Hebi Li, Ge Luo, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen

Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summary which is costly to obtain.

Abstractive Text Summarization Document Embedding +3

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