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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.LG2026
Delta Attention Residuals
Cheng Luo, Zefan Cai, Junjie Hu
Attention Residuals replace standard additive residual connections with learned softmax attention over previous layer outputs, enabling selective cross-layer routing. However, stan…
cs.LG2025
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
Cheng Luo, Zefan Cai, Hanshi Sun +7
Transformer-based large language models (LLMs) demonstrate impressive performance in long context generation. Extending the context length has disproportionately shifted the memory…