3 papers
cs.LG2026
When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval
Zhicheng Zhang, Jiwei Tang, Kuicai Dong +9
Hard negative mining has become the dominant strategy for training retrievers, yet it faces intrinsic limitations: negatives are bounded by corpus availability, selected by retriev…
cs.GR2026
Temporally-Aligned Evaluation for Audio-Driven Talking Head Generation
Zhicheng Zhang, Lei Wang, Yu Zhang +1
Audio-driven talking-head generation has advanced rapidly, yet existing evaluation protocols mainly rely on frame-wise metrics that assume strict temporal correspondence between ge…
cs.CV2025
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
Yuheng Ji, Yue Liu, Zhicheng Zhang +6
Vision-Language Models (VLMs) play a crucial role in the advancement of Artificial General Intelligence (AGI). As AGI rapidly evolves, addressing security concerns has emerged as o…