Lawyers have filed a rush of lawsuits against corporations, law firms, health care companies, art groups and nonprofits. And ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Abstract: Multimodal recommendation systems integrate diverse multimodal information into the feature representations of both items and users, thereby enabling a more comprehensive modeling of user ...

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent? Conventional comparison learning, designed to help AI understand human preferences, ...

1 School of Economics and Management, Beijing Forestry University, Beijing, China 2 School of Electronic Information, Zhongyuan University of Science and Technology, Zhengzhou, China Introduction: ...

1 School of Computer Engineering, Suzhou Polytechnic University, Suzhou, China 2 College of Science Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China The proliferation of digital ...

In today’s workforce, the convergence of five generations —traditionalists, baby boomers, Generation X, millennials, and Generation Z—presents challenges and opportunities for organizations. As ...

Abstract: Predicting the next location is a highly valuable and common need in many location-based services such as destination prediction and route planning. The goal of next location recommendation ...

@misc{sun2025gracegenerativerepresentationlearning, title={GRACE: Generative Representation Learning via Contrastive Policy Optimization}, author={Jiashuo Sun and ...

Educators are embarking on new territory. The role of the federal government has shifted, raising new considerations for teachers and school and district leaders. Federal education funding has changed ...

Studying with Claude is a chore. That's could be it's greatest selling point. Credit: Ian Moore / Mashable Composite; Anthropic This is the third in a series of stories diving into a new wave of ...