1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection
Lei Jiang, Chunzhao Xie, Tongxuan Liu +6
Large Vision-Language Models have demonstrated remarkable capabilities, yet they suffer from hallucinations that limit practical deployment. While various mitigation strategies exi…
cs.LG2024★ 1 cited
An Efficient Replay for Class-Incremental Learning with Pre-trained Models
Weimin Yin, Bin Chen adn Chunzhao Xie, Zhenhao Tan
In general class-incremental learning, researchers typically use sample sets as a tool to avoid catastrophic forgetting during continuous learning. At the same time, researchers ha…
cs.CL2024★ 1 cited
Weaver: Foundation Models for Creative Writing
Tiannan Wang, Jiamin Chen, Qingrui Jia +43
This work introduces Weaver, our first family of large language models (LLMs) dedicated to content creation. Weaver is pre-trained on a carefully selected corpus that focuses on im…