1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding
Xiang Fang, Daizong Liu, Wanlong Fang +4
This paper addresses the task of temporal sentence grounding (TSG). Although many respectable works have made decent achievements in this important topic, they severely rely on mas…
cs.CV2024★ 1 cited
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
Daizong Liu, Mingyu Yang, Xiaoye Qu +3
With the significant development of large models in recent years, Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across a wide range of multimodal u…
cs.CL2024★ 1 cited
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
Zhaochen Su, Juntao Li, Jun Zhang +6
Temporal reasoning is fundamental for large language models (LLMs) to comprehend the world. Current temporal reasoning datasets are limited to questions about single or isolated ev…