6 citations · 18 across the 37 of their papers we have counts for
4 papers · 1 filter
Beyond Multimodal Alignment: Shared Physical Representations Across Sensors and Action Orders
Kaizhen Tan, Xin Xu, Siru Tao +4
Multimodal world models are often evaluated by whether different sensors produce similar representations. However, similar representations do not necessarily imply that the models…
What Can Latent World Models Know? Physical Information in Multimodal Predictive Representations
Kaizhen Tan, Sizhe Xu, Xin Xu +6
A central premise of latent world models is that predicting the future encourages representations to internalize the physics of their environment. We ask which physical quantities…
How Much Can a LoRA Adapter Memorize? Measuring Adapter Capacity in Bits
Kaizhen Tan, Heqing Du, Yang Feng
LoRA adapters are often shared on their own, and the amount of information they can hold about their training data bounds what sharing them can reveal. Following Morris et al. (202…
PSO-Merging: Merging Models Based on Particle Swarm Optimization
Kehao Zhang, Shaolei Zhang, Yang Feng
Model merging has emerged as an efficient strategy for constructing multitask models by integrating the strengths of multiple available expert models, thereby reducing the need to…