THE FLUENCY-BASED SEMANTIC NETWORK OF LLMS DIFFERS FROM HUMANS

The fluency-based semantic network of LLMs differs from humans

Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between led humans and machines in language understanding and creativity.However, whether the semantic network of LLMs is similar to humans is still unclear.We examined the representative c

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Transparency of financial statements prepared under IFRS as an instrument of anti-corruption activity in Ukraine

Corruption as a social phenomenon leads to a decrease in foreign investment, worsens the economic, political and social situation.As practice shows, measures taken in Ukraine over the last decades, are not sufficiently effective.The Helmets level of shadowing of the economy has created an environment for the development of negative phenomena and ab

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The Use of Composite GOES-R Satellite Imagery to Evaluate a TC Intensity and Vortex Structure Forecast by an FV3GFS-Based Hurricane Forecast Model

The HAFS model is an effort under the NGGPS and UFS initiatives to create the next generation of hurricane prediction and analysis system based on FV3-GFS.It has been validated extensively using traditional verification Candida Yeast Support indicators such as tracker error and biases, intensity error and biases, and the radii of gale, damaging and

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