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12 pages, 304 KiB  
Article
Knowledge Extraction from LLMs for Scalable Historical Data Annotation
by Fabio Celli and Dmitry Mingazov
Electronics 2024, 13(24), 4990; https://doi.org/10.3390/electronics13244990 - 18 Dec 2024
Cited by 1 | Viewed by 1691
Abstract
This paper introduces a novel approach to extract knowledge from large language models and generate structured historical datasets. We investigate the feasibility and limitations of this technique by comparing the generated data against two human-annotated historical datasets spanning from 10,000 BC to 2000 [...] Read more.
This paper introduces a novel approach to extract knowledge from large language models and generate structured historical datasets. We investigate the feasibility and limitations of this technique by comparing the generated data against two human-annotated historical datasets spanning from 10,000 BC to 2000 CE. Our findings demonstrate that generative AI can successfully produce historical annotations for a wide range of variables, including political, economic, and social factors. However, the model’s performance varies across different regions, influenced by factors such as data granularity, historical complexity, and model limitations. We highlight the importance of high-quality instructions and effective prompt engineering to mitigate issues like hallucinations and improve the accuracy of generated annotations. The successful application of this technique can significantly accelerate the development of reliable structured historical datasets, with a potentially high impact on comparative and computational history. Full article
(This article belongs to the Special Issue Knowledge Information Extraction Research)
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12 pages, 790 KiB  
Article
The Collapse of Ecosystem Engineer Populations
by José F. Fontanari
Mathematics 2018, 6(1), 9; https://doi.org/10.3390/math6010009 - 12 Jan 2018
Cited by 5 | Viewed by 6707
Abstract
Humans are the ultimate ecosystem engineers who have profoundly transformed the world’s landscapes in order to enhance their survival. Somewhat paradoxically, however, sometimes the unforeseen effect of this ecosystem engineering is the very collapse of the population it intended to protect. Here we [...] Read more.
Humans are the ultimate ecosystem engineers who have profoundly transformed the world’s landscapes in order to enhance their survival. Somewhat paradoxically, however, sometimes the unforeseen effect of this ecosystem engineering is the very collapse of the population it intended to protect. Here we use a spatial version of a standard population dynamics model of ecosystem engineers to study the colonization of unexplored virgin territories by a small settlement of engineers. We find that during the expansion phase the population density reaches values much higher than those the environment can support in the equilibrium situation. When the colonization front reaches the boundary of the available space, the population density plunges sharply and attains its equilibrium value. The collapse takes place without warning and happens just after the population reaches its peak number. We conclude that overpopulation and the consequent collapse of an expanding population of ecosystem engineers is a natural consequence of the nonlinear feedback between the population and environment variables. Full article
(This article belongs to the Special Issue Progress in Mathematical Ecology)
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