4 papers
Towards Analyzing and Understanding the Limitations of VAPO: A Theoretical Perspective
Jintian Shao, Yiming Cheng, Hongyi Huang +4
The VAPO framework has demonstrated significant empirical success in enhancing the efficiency and reliability of reinforcement learning for long chain-of-thought (CoT) reasoning ta…
ComplexFormer: Disruptively Advancing Transformer Inference Ability via Head-Specific Complex Vector Attention
Jintian Shao, Hongyi Huang, Jiayi Wu +4
Transformer models rely on self-attention to capture token dependencies but face challenges in effectively integrating positional information while allowing multi-head attention (M…
VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits
Jintian Shao, Hongyi Huang, Jiayi Wu +4
Large Language Models (LLMs) have achieved remarkable success but face significant computational and memory challenges, particularly due to their extensive output vocabularies. The…
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models
Guangxi Li, Yinsheng Song, Mingkai Zheng
Long-tailed distributions in image recognition pose a considerable challenge due to the severe imbalance between a few dominant classes with numerous examples and many minority cla…