We have 3 of 6 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Spiking forecasting framework SpikeLite is introduced, a spiking forecasting framework built around two modules: a Frequency-Selective Spiking Encoder for frequency-sensitive temporal encoding and a Sparse Spiking Channel Attention (SSCA) module for selective cross-channel interaction.
Large language models (LLMs) achieve strong performance across many tasks but rely on dense multiply-accumulate (MAC) operations during inference, resulting in high energy cost. Spiking neural networks (SNNs) offer an event-driven alternative in which synaptic integration uses lightweight accumulation. However, spike-d...
This work proposes ATAC, an anchor-tail aware framework for jointly optimizing packed-document construction and context-parallel sharding in large language model training and demonstrates that input-structure-aware co-design of packing and context parallelism is an effective approach to improving calibrated pipeline-le...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
