9 citations · 33 across the 24 of their papers we have counts for
5 papers · 1 filter
A Function-Space Approach to the Statistical Mechanics of Learning Dynamics
Yizhou Zhang, Weichen Wu, Lun Du +1
In the kernel regime, neural-network learning inherits its preferences from a frozen spectrum. During feature learning, this spectrum evolves, yet networks retain systematic biases…
Geo-Expert: Towards Expert-Level Geological Reasoning via Parameter-Efficient Fine-Tuning
Chenyou Guo, Zongqi Liu, Yizhou Zhang +2
While general-purpose Large Language Models (LLMs) applied to Geology often hallucinate when reasoning about subsurface structures and deep-time evolution, current AI in Earth scie…
SynPO: Synergizing Descriptiveness and Preference Optimization for Video Detailed Captioning
Jisheng Dang, Yizhou Zhang, Hao Ye +6
Fine-grained video captioning aims to generate detailed, temporally coherent descriptions of video content. However, existing methods struggle to capture subtle video dynamics and…
Understanding Artificial Neural Network's Behavior from Neuron Activation Perspective
Yizhou Zhang, Yang Sui
This paper explores the intricate behavior of deep neural networks (DNNs) through the lens of neuron activation dynamics. We propose a probabilistic framework that can analyze mode…
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
Yizhou Zhang, Lun Du, Defu Cao +2
Foundation models, such as Large language Models (LLMs), have attracted significant amount of interest due to their large number of applications. However, when handling tasks invol…