2 citations · 2 across the 7 of their papers we have counts for
9 papers
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…
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
MiniMax, :, Aili Chen +125
We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combin…
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
Yuhao Li, Ling Luo, Uwe Aickelin
Medical research, particularly in predicting patient outcomes, heavily relies on medical time series data extracted from Electronic Health Records (EHR), which provide extensive in…
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer
Adam Labiosa, Zhihan Wang, Siddhant Agarwal +10
Robot decision-making in partially observable, real-time, dynamic, and multi-agent environments remains a difficult and unsolved challenge. Model-free reinforcement learning (RL) i…
Finding Bugs in Short Proofs: The Metamathematics of Resolution Lower Bounds
Jiawei Li, Yuhao Li, Hanlin Ren
We study the *refuter* problems for proof complexity lower bounds. Suppose is a hard tautology that does not admit any length- proof in some proof system . In the corresp…
Spin glass model of in-context learning
Yuhao Li, Ruoran Bai, Haiping Huang
Large language models show a surprising in-context learning ability -- being able to use a prompt to form a prediction for a query, yet without additional training, in stark contra…