Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.
Abstract: We experimentally demonstrate a 21.92 dB sensitivity enhancement over PAM6 in a 40 Gbaud free space optical communication (FSOC) direct -detection system based on OAM -Polarization Shift ...
DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...