As jailbreak attacks against large language models (LLMs) become increasingly diverse, red-teaming has come to rely on large libraries of jailbreak prompts and attack strategies to evaluate the robustness of victim models and their defense settings. However, attack effectiveness is highly condition-dependent: an attack...
Zhi-Cheng Fang, Han Sun, Jia-Chen Lei et al.· 0 citations
This paper presents FADE, an effective training framework for counterfactual discovery and explanation that is built on an evidence-first, two-stage training paradigm, and demonstrates remarkable robustness when transitioning from constrained MCQs to unconstrained OQA and captioning.
Fufangchen Zhao, Jin-Hu Fu, Jiachen Lei et al.· 0 citations
By releasing the compact 7B generator and 2K Refiner, this work seeks to democratize native audio-video generation and provide an accessible foundation for future research in unified audio-video generative modeling.
Jia-Shu Zhu, Yan-Hao Zheng, Rui Tian et al.· 0 citations
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