O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...
Abstract: Multi-hop question answering (QA), which requires integrating information from multiple sources, poses significant challenges in natural language processing. Existing methods often struggle ...
In this work, we propose a multi-agent LLMs framework that is guided by design principles. Our multi-agent LLMs adopt a workflow of specialist agents that mirrors a professional design process: ...
Abstract: The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered ...
According to the 2026 National Software Quality Supervision and Inspection Bulletin, the evaluation of any Comprehensive ...