Enhanced Structured State Space Models via Grouped FIR Filtering andAttention Sink MechanismsTian Meng1†Yang Tao2†Wuliang Yin1∗1 University of Manchester 2 Mettler Toledo Safeline† Joint First Author ∗ Project LeadAbstractStructured State Space Models (SSMs) have emerged ascompelling ...
Although conventional models including RNNs, CNNs, and Transformers have specialized variants for capturing long dependencies, they still struggle to scale to very long sequences of 10000 or more steps. A promising recent approach proposed modeling sequences by simulating the fundamental state space ...
In this section, we first describe the data set on which the models are evaluated. Then, we compare the performances of our best model against other state of the art ranking models. We also investigate the break-down impact of the techniques proposed in Section 3. 4.1 Data Sets and ...