MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability

1 code implementation • 23 May 2024 • Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin

When encountering malicious instructions, the router will assign a higher weight to the safe LLM to ensure that responses are harmless.

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach

1 code implementation • 30 Oct 2017 • Yuhang Song, Mai Xu, Jianyi Wang, Minglang Qiao, Liangyu Huo, Zulin Wang

Finally, the experiments validate that our approach is effective in both offline and online prediction of HM positions for panoramic video, and that the learned offline-DHP model can improve the performance of online-DHP.

Position reinforcement-learning +1

Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning

1 code implementation • 27 Oct 2017 • Yuhang Song, Main Xu, Songyang Zhang, Liangyu Huo

However, the conventional deep neural network architecture is limited in learning representations for multi-task RL (MT-RL), as multiple tasks can refer to different kinds of representations.

Atari Games Multi-Task Learning +1