Agents are increasingly susceptible to hijack attacks, where malicious instructions embedded in cross-modal inputs (e.g., adversarial images or retrieved web content) are used to deceive the agent's execution. Existing defenses typically rely on strict filtering or refusal mechanisms, which suffer from a critical limit...
Che Wang, Fu-Yao Zhang, Jiaming Zhang et al.· 0 citations
Current video object removal methods suffer from prohibitive latency (minutes per video) and non-causal processing that prevents real-time interaction. We present StreamErase, enabling sub-second latency with up to 26 FPS streaming generation on a single GPU. Our approach first augments a text-to-video model with mask...
Zhuo-Bai Dong, Xiao-Bing Tu, Xian-Tao Zhang et al.· 0 citations
The results suggest that dense to MoE adaptation with dynamic expert deactivation is a practical direction for reducing active VLA model size without severe performance loss.
Mu-Chun Niu, Shuang Chen, Yu-Zhou Wu et al.· 0 citations
STEP-OPD is proposed, an on-policy distillation framework for image generation that extends the student's learning target beyond the teacher and introduces explicit constraints on its internal representation evolution, showing that output extrapolation enables beyond-teacher learning.
Qing-Yan Wei, Guang-Zhao Li, Xiao-Bing Tu et al.· 1 citation
This work develops HarnessBandit, an online scheduler that selects one harness per optimizer step, and improves over mixed-batch multi-harness training on both benchmarks, while training diagnostics indicate that learnability and transferability provide distinct, evolving signals.
Hong-Liang Wei, Xiao-Bing Tu, Yinggui Wang et al.· 1 citation· ⚡1
BQ-LoRA is proposed, a low-rank adaptation framework that organizes trajectory updates through a local behavior quotient manifold and contains two modules, i.e., behavior quotient balancing (BQB) and decision preserving compression (DPC).
Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al.· 0 citations
TAC-Merge is proposed for tracing and coordinating cross-layer influence in multimodal model merging and demonstrated the effectiveness in consolidating complementary expert capabilities and supporting generalization to unseen tasks.
Peng-Yang Zhou, Xiao-Bing Tu, Zheng-Xi Liu et al.· 0 citations
This work argues that closing this gap requires alignment at every level of the pipeline, including execution, supervision, optimization, and evaluation, rather than scale alone, and presents Wuying-Browser-Agent, a unified framework that addresses each of these levels.
A. Chen, Yan Cheng, Zhangye Han et al.· 1 citation
Method, an egocentric world-action simulator that synthesizes controllable, high-quality manipulation videos to expand scarce real-world training data, is presented, demonstrating that the synthesized data substantially improve downstream WAM generalization.
Zexuan Yan, Yuzhou Wu, Yue Ma et al.· arXiv.org· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
