2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
MinkowskiPE: Minkowski Positional Encoding for Spatiotemporal Perception
Yuhao Li, Louie Hong Yao, Tianyi Shi +4
Modeling spatiotemporal coupling is a key challenge in building physical intelligence across scales, from microscopic to macroscopic. Existing models capture such structure broadly…
On Distinguishing Capability Elicitation from Capability Creation in Post-Training: A Free-Energy Perspective
Yuhao Li, Shengchao Liu
Debates about large language model post-training often treat supervised fine-tuning (SFT) as imitation and reinforcement learning (RL) as discovery. But this distinction is too coa…
A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics
Louie Hong Yao, Yuhao Li, Shengchao Liu
Self-supervised representation learning is central to modern machine learning because it extracts structured latent features from unlabeled data and enables robust transfer across…
HER: Human-like Reasoning and Reinforcement Learning for LLM Role-playing
Chengyu Du, Xintao Wang, Aili Chen +11
LLM role-playing, i.e., using LLMs to simulate specific personas, has emerged as a key capability in various applications, such as companionship, content creation and digital games…