3 papers
cs.LG2026
Universal Test-Time Training
Zefan Cai, Qinzhe Hu, Ziqiao Ma +2
Recent Test-Time Training (TTT) architectures compress context into fast weights that are updated online and queried as memory. Existing TTT designs keep this memory private to eac…
cs.SD2026
TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation
Qinzhe Hu, Chenda Li, Wangyou Zhang +3
Recent advances in speech separation (SS) have led to compact front-end models with small parameter sizes, yet their high computational cost remains a major barrier for deployment…
cs.CL2026
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
Chenzhi Hu, Qinzhe Hu, Yuhang Xu +6
Large reasoning models (LRMs) like OpenAI o1 and DeepSeek-R1 achieve high accuracy on complex tasks by adopting long chain-of-thought (CoT) reasoning paths. However, the inherent v…