This paper presents a comprehensive water quality assessment and pollution source tracking model based on multi-task learning (MTL). On the basis of the existing water quality prediction and pollution ...

In this paper, we first propose a novel Multi-Task learning framework for Relation Extraction ... The experimental results demonstrate that our model improves the predictive performance substantially ...

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...

Confused by ChatGPT’s models? Here’s a detailed, user-tested guide comparing GPT-4o, GPT-4.1, GPT-4.5, and more — plus ...

The frontier of AI is rapidly advancing, but among the public and even in the enterprise, an understanding of its ...

The workshop offered participants a practical understanding of building sophisticated AI systems capable of autonomous task ...

China has made significant advancements in Artificial Intelligence (AI) in recent years, and one of the most notable ...

By building stronger reasoning skills in AI systems, new approaches to data for training and testing will open a door to the ...

Aurora, a foundation model developed by researchers from Microsoft, the University of Pennsylvania (UPenn), and several other ...

OpenAI’s most advanced AI coding agent, Codex, will bring parallel task automation to developers—but analysts caution that speed without scrutiny invites “silent failures.” ...