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cs.LG2026
ReTTT: Reflection-Driven Test-Time Training via Experience-Based Parametric Memory
Kangcong Li, Hangfan Zhang, Shuyue Hu +2
LLM agents accumulate valuable task-specific information through their actions, observations, and environmental feedback during multi-turn task execution. When effectively used, th…
cs.LG2023★ 1 cited
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Peng Ye, Tong He, Shengji Tang +4
Residual networks have shown great success and become indispensable in recent deep neural network models. In this work, we aim to re-investigate the training process of residual ne…