Scaling Laws for Speculative Decoding

no code implementations • 8 May 2025 • Siyuan Yan, Mo Zhu, Guo-qing Jiang, Jianfei Wang, Jiaxing Chen, Wentai Zhang, Xiang Liao, Xiao Cui, Chen Zhang, Zhuoran Song, Ran Zhu

The escalating demand for efficient decoding in large language models (LLMs) is particularly critical for reasoning-intensive architectures like OpenAI-o3 and DeepSeek-R1, which depend on extended chain-of-thought reasoning.

HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition

1 code implementation • 18 Oct 2023 • Xudong Gao, Xiao Guang Gao, Jia Rong, Xiaowei Chen, Xiang Liao, Jun Chen

Although in high-noise settings, standard CNNs exhibit slightly greater robustness when compared to HB-net models, the models that combine the HB framework and EA mechanism achieve a comparable level of accuracy and resilience to ResNet50, despite having only three convolutional layers and approximately $1/30$ of the parameters.

Multi-Label Classification MUlTI-LABEL-ClASSIFICATION