Accepted Paper at PACT 2025
Research on scalable RAG retrieval, presented in our paper “Bit-Level Semantics: Scalable RAG Retrieval with Neurosymbolic Hyperdimensional Computing,” will appear at PACT 2025.
Research on scalable RAG retrieval, presented in our paper “Bit-Level Semantics: Scalable RAG Retrieval with Neurosymbolic Hyperdimensional Computing,” will appear at PACT 2025.
3 papers accepted: DiTTO, a novel diffusion-based framework for generating realistic, configurable, and diverse multi-device storage traces (DAC 2025); FlexNeRFer, an energy-efficient NeRF accelerator (ISCA 2025); and a diffusion-based generative-AI surrogate framework for system optimization (SIGMETRICS 2025).
3 papers accepted: Research on a dynamic-encoding, oversampling HD federated learning framework for mobile robots (ICRA 2025); an HD framework designed with fine-grained feature encoding and a robust training scheme to effectively capture complex data patterns (DATE 2025); and a dynamic pruning framework for large language models enabling real-time adaptation with competitive accuracy and improved efficiency (DATE 2025).