10 citations · 10 across the 5 of their papers we have counts for
5 papers
SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation
Yao Teng, Zhihuan Jiang, Han Shi +6
Large autoregressive models can generate high-quality, high-resolution images but suffer from slow generation speed, because these models require hundreds to thousands of sequentia…
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning
Zhihuan Jiang, Zhen Yang, Jinhao Chen +4
Multi-modal large language models (MLLMs) have demonstrated promising capabilities across various tasks by integrating textual and visual information to achieve visual understandin…
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Zhen Yang, Jinhao Chen, Zhengxiao Du +6
Large language models (LLMs) have demonstrated significant capabilities in mathematical reasoning, particularly with text-based mathematical problems. However, current multi-modal…
Rock Classification Based on Residual Networks
Sining Zhoubian, Yuyang Wang, Zhihuan Jiang
Rock Classification is an essential geological problem since it provides important formation information. However, exploration on this problem using convolutional neural networks i…
GPT Can Solve Mathematical Problems Without a Calculator
Zhen Yang, Ming Ding, Qingsong Lv +5
Previous studies have typically assumed that large language models are unable to accurately perform arithmetic operations, particularly multiplication of >8 digits, and operations…