IEEE

20.5 C-Transformer: A 2.6-18.1μJ/Token Homogeneous DNN-Transformer/Spiking-Transformer Processor with Big-Little Network and Implicit Weight Generation for Large Language Models

Abstract: Recently, transformer-based large language models (LLMs), shown in Fig. 20.5.1, are widely used, and even on-device LLM systems with real-time responses are anticipated [1]. Many transformer ...
GitHub

LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

This is the official PyTorch implementation of LLMDet. Recent open-vocabulary detectors achieve promising performance with abundant region-level annotated data. In this work, we show that an ...