Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
[HTML][HTML] Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects
M Barcina-Blanco, JL Lobo, P Garcia-Bringas… - Neurocomputing, 2024 - Elsevier
In the rapidly evolving domain of machine learning, the ability to adapt to unforeseen
circumstances and novel data types is of paramount importance. The deployment of Artificial …
circumstances and novel data types is of paramount importance. The deployment of Artificial …
Future Shock: Generative AI and the international AI policy and governance crisis
D Leslie, AM Perini - 2024 - hdsr.mitpress.mit.edu
On March 29, 2023, the Future of Life Institute (FLI) published an open letter calling on “all AI
labs to immediately pause for at least 6 months the training of AI systems more powerful than …
labs to immediately pause for at least 6 months the training of AI systems more powerful than …
[HTML][HTML] A comprehensive framework for explainable cluster analysis
M Alvarez-Garcia, R Ibar-Alonso, M Arenas-Parra - Information Sciences, 2024 - Elsevier
Abstract Machine learning has proven to be a powerful tool for knowledge extraction from
large data sets across different domains. Data quality and results interpretability are …
large data sets across different domains. Data quality and results interpretability are …
Opdai at semeval-2024 task 6: Small llms can accelerate hallucination detection with weakly supervised data
Z Chen, C Wei, S Fang, J He, M Gao - Proceedings of the 18th …, 2024 - aclanthology.org
This paper mainly describes a unified system for hallucination detection of LLMs, which wins
the second prize in the model-agnostic track of the SemEval-2024 Task 6, and also achieves …
the second prize in the model-agnostic track of the SemEval-2024 Task 6, and also achieves …
Opdai at semeval-2024 task 6: Small llms can accelerate hallucination detection with weakly supervised data
C Wei, Z Chen, S Fang, J He, M Gao - arXiv preprint arXiv:2402.12913, 2024 - arxiv.org
This paper mainly describes a unified system for hallucination detection of LLMs, which wins
the second prize in the model-agnostic track of the SemEval-2024 Task 6, and also achieves …
the second prize in the model-agnostic track of the SemEval-2024 Task 6, and also achieves …
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Large Language Models (LLMs) have achieved unparalleled success across diverse
language modeling tasks in recent years. However, this progress has also intensified ethical …
language modeling tasks in recent years. However, this progress has also intensified ethical …
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
In Artificial Intelligence, there is an increasing demand for adaptive models capable of
dealing with a diverse spectrum of learning tasks, surpassing the limitations of systems …
dealing with a diverse spectrum of learning tasks, surpassing the limitations of systems …
[HTML][HTML] Using chat GPT to evaluate police threats, risk and harm
E Halford, A Webster - International Journal of Law, Crime and Justice, 2024 - Elsevier
General purpose artificial intelligence (GPAI) is a form of advanced AI system that includes
the recently introduced ChatGPT. GPAI is known for its capacity to understand and emulate …
the recently introduced ChatGPT. GPAI is known for its capacity to understand and emulate …
What are Responsible AI Researchers Really Arguing About?
RL Johnson - Handbook on the Ethics of Artificial Intelligence, 2024 - elgaronline.com
Debate is rife in the Responsible AI (RAI) community regarding the risks posed by artificial
intelligence (AI) and the strategies to mitigate them. One segment of researchers is chiefly …
intelligence (AI) and the strategies to mitigate them. One segment of researchers is chiefly …