Rather than depending on static human annotations ... reinforcement learning from human feedback (RLHF). At the heart of SPCT is a multi-stage alignment pipeline that replaces static human ...

[pdf] AI alignment in the design of interactive AI ... Uncertainty-guided work allocation between human and large language models for data annotation. Li, Minzhi, Taiwei Shi, Caleb Ziems, Min-Yen Kan, ...

This session of the Johns Hopkins Data Science and AI Institute Spring 2025 Symposium is titled Human Alignment of AI. The symposium begins at 10 a.m. in Shriver Hall, followed by a poster session ...

Training data fuels artificial intelligence (AI), but annotation AI comes with costs beyond what’s on the surface. Spending money on tools and workers is normal. But hidden costs, such as rework, ...

In general, phase center alignment with the geometric center of the rotating platform ... estimate the geometric offset parameter values using synthetic array measurement data and prior element ...

To address this problem, we propose a novel method of cross-data vision alignment for richer representation learning to improve the existing dehazing methodology. Specifically, we call for the ...