188 citations · 189 across the 6 of their papers we have counts for
7 papers
ImageAttributionBench: How Far Are We from Generalizable Attribution?
Tingshu Mou, Zhipeng Wei, Chao Gong +2
The rapid advancement of generative AI has enabled the creation of highly realistic and diverse synthetic images, posing critical challenges for image provenance and misinformation…
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
Chao Gong, Depeng Wang, Zhipeng Wei +3
Audio-Visual Large Language Models (AV-LLMs) face prohibitive computational costs of processing massive, redundant audio-visual tokens. Existing unimodal compression techniques fai…
UniREditBench: A Unified Reasoning-based Image Editing Benchmark
Feng Han, Yibin Wang, Chenglin Li +7
Recent advances in multi-modal generative models have driven substantial improvements in image editing. However, current generative models still struggle with handling diverse and…
VCE: Safe Autoregressive Image Generation via Visual Contrast Exploitation
Feng Han, Chao Gong, Zhipeng Wei +2
Recently, autoregressive image generation models have wowed audiences with their remarkable capability in creating surprisingly realistic images. Models such as GPT-4o and LlamaGen…
DuMo: Dual Encoder Modulation Network for Precise Concept Erasure
Feng Han, Kai Chen, Chao Gong +3
The exceptional generative capability of text-to-image models has raised substantial safety concerns regarding the generation of Not-Safe-For-Work (NSFW) content and potential copy…
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models
Chao Gong, Kai Chen, Zhipeng Wei +2
Text-to-image models encounter safety issues, including concerns related to copyright and Not-Safe-For-Work (NSFW) content. Despite several methods have been proposed for erasing i…
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models
Junjie Ye, Xuanting Chen, Nuo Xu +12
GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on, have gained considerable attention due to their exceptional natural language processing capabilities. Howe…