Sakana AI Fugu launched June 22 as a multi-agent AI orchestration system that claims Anthropic Fable 5-level benchmark ...
Abstract: Partial label learning (PLL) is an important problem that allows each training example to be labeled with a coarse candidate set with the ground-truth label included. However, in a more ...
In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
This repository contains the implementation of RaKUn 2.0, a very fast keyphrase extraction algorithm suitable for large-scale keyphrase retrieval. Running LLMs on massive corpora remains somewhat ...
Individual survival and evolutionary selection require biological organisms to maximize reward. Economic choice theories define the necessary and sufficient conditions, and neuronal signals of ...
Quantum computing has emerged as a powerful computational paradigm capable of solving problems beyond the reach of classical computers. However, today’s quantum computers are noisy, posing challenges ...
Verifiability is a core content policy of Wikipedia: claims need to be backed by citations. Maintaining and improving the quality of Wikipedia references is an important challenge and there is a ...
ChatGPT and other AIs could supercharge the influence of lobbyists—but only if we let them Nearly 90% of the multibillion-dollar federal lobbying apparatus in the United States serves corporate ...
The rotor system is a core part of rotating machinery equipment. Its safe and reliable operation directly affects the economic benefit of using the equipment and the personal safety of users. To fully ...
Abstract: To improve the topology observability in power distribution networks (PDNs), a two-stage topology identification framework is proposed to recognize the mixed topologies in a large set of ...