Advancing Large Multi-modal Models with Explicit Chain-of-Reasoning and Visual Question Generation

no code implementations • 18 Jan 2024 • Kohei Uehara, Nabarun Goswami, Hanqin Wang, Toshiaki Baba, Kohtaro Tanaka, Tomohiro Hashimoto, Kai Wang, Rei Ito, Takagi Naoya, Ryo Umagami, Yingyi Wen, Tanachai Anakewat, Tatsuya Harada

The increasing demand for intelligent systems capable of interpreting and reasoning about visual content requires the development of Large Multi-Modal Models (LMMs) that are not only accurate but also have explicit reasoning capabilities.

Language Modelling Large Language Model +2

An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices

no code implementations • 27 Feb 2020 • Rei Ito, Mineto Tsukada, Hiroki Matsutani

We extend it for an on-device federated learning so that edge devices can exchange their trained results and update their model by using those collected from the other edge devices.

Anomaly Detection Federated Learning