7 citations · 7 across the 4 of their papers we have counts for
4 papers
Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering
Li Zheng, Xin Zhang, Shuyi He +5
Accurate comprehension and controllable generation of emotion and rhetoric are pivotal for enhancing the reasoning capabilities of large language models (LLMs). Existing studies mo…
Wave Network: An Ultra-Small Language Model
Xin Zhang, Victor S. Sheng
We propose an innovative token representation and update method in a new ultra-small language model: the Wave network. Specifically, we use a complex vector to represent each token…
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
Xin Zhang, Victor S. Sheng
Explainability is an essential reason limiting the application of neural networks in many vital fields. Although neuro-symbolic AI hopes to enhance the overall explainability by le…
The Backpropagation of the Wave Network
Xin Zhang, Victor S. Sheng
This paper provides an in-depth analysis of Wave Network, a novel token representation method derived from the Wave Network, designed to capture both global and local semantics of…