Siyin Wang

A novel two-axis framework unifies the study of multimodal agent memory, revealing distinct tiers of memory adaptation from static reuse to self-evolving policies.

WCM transforms the way reinforcement learning models handle temporal dynamics, leading to unprecedented generalization in robotic manipulation tasks.

General-purpose self-supervised audio representations can outperform specialized supervised models, reshaping the landscape of audio understanding in ALLMs.