4 papers
MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation
Zhihan Chen, Yuhuan Zhao, Yijie Zhu +7
Multi-subject personalized image generation requires the precise rendering of all requested reference identities and their specified interactions based on a guiding prompt. However…
When Identities Collapse: A Stress-Test Benchmark for Multi-Subject Personalization
Zhihan Chen, Yuhuan Zhao, Yijie Zhu +1
Subject-driven text-to-image diffusion models have achieved remarkable success in preserving single identities, yet their ability to compose multiple interacting subjects remains l…
Adversarial Alignment: Ensuring Value Consistency in Large Language Models for Sensitive Domains
Yuan Gao, Zhigang Liu, Xinyu Yao +2
With the wide application of large language models (LLMs), the problems of bias and value inconsistency in sensitive domains have gradually emerged, especially in terms of race, so…
WenyanGPT: A Large Language Model for Classical Chinese Tasks
Xinyu Yao, Mengdi Wang, Bo Chen +1
Classical Chinese, as the core carrier of Chinese culture, plays a crucial role in the inheritance and study of ancient literature. However, existing natural language processing mo…