98 citations · 144 across the 8 of their papers we have counts for
9 papers
DREAM: LLM-based Dynamic Role-playing via Event-Aware Memory Graph
Zhihao Xiao, Mengting Li, Xintao Wang +4
Role-playing agents (RPAs) have emerged as a key application of large language models, enabling immersive and high-fidelity character simulation. Accurate role-playing of establish…
Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling
Borui Cai, Yao Zhao
Existing sequence models, including RNNs, LSTMs, continuous-time networks, and Transformers, share a common structural principle: layer-wise dynamics, where all neurons in the same…
Beyond Triplet Plausibility: Relation Set Completion in Knowledge Graphs
Zihao Zheng, Borui Cai, Yao Zhao +2
Knowledge graphs (KGs) organize real-world knowledge as triplets and underpin many downstream applications. Due to their inherent incompleteness, knowledge graph completion (KGC) i…
Intelligence Foundation Model: A New Perspective to Approach Artificial General Intelligence
Borui Cai, Yao Zhao
We propose a new perspective for approaching artificial general intelligence (AGI) through an intelligence foundation model (IFM). Unlike existing foundation models (FMs), which sp…
SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
Borui Cai, Guangyan Huang, Shuiqiao Yang +2
Shapelets that discriminate time series using local features (subsequences) are promising for time series clustering. Existing time series clustering methods may fail to capture re…
Hybrid Variational Autoencoder for Time Series Forecasting
Borui Cai, Shuiqiao Yang, Longxiang Gao +1
Variational autoencoders (VAE) are powerful generative models that learn the latent representations of input data as random variables. Recent studies show that VAE can flexibly lea…