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cs.AI2024
Infer Human's Intentions Before Following Natural Language Instructions
Yanming Wan, Yue Wu, Yiping Wang +2
For AI agents to be helpful to humans, they should be able to follow natural language instructions to complete everyday cooperative tasks in human environments. However, real human…
cs.CV2024
Toward a More Complete OMR Solution
Guang Yang, Muru Zhang, Lin Qiu +2
Optical music recognition (OMR) aims to convert music notation into digital formats. One approach to tackle OMR is through a multi-stage pipeline, where the system first detects vi…
cs.LG2024★ 1 cited
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison +2
Reinforcement Learning from Human Feedback (RLHF) is a powerful paradigm for aligning foundation models to human values and preferences. However, current RLHF techniques cannot acc…