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The Estimation of the Optimal Level of Productivity for Sponsors in the Recovery and Enhancement of the Historical-Architectural Heritage.

, , , , , and . ICCSA (5), volume 12253 of Lecture Notes in Computer Science, page 285-299. Springer, (2020)

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Text to Image Generation: Leaving no Language Behind., and . CoRR, (2022)Estimation of Risk Levels for Building Construction Projects., , , , , and . ICCSA (3), volume 12251 of Lecture Notes in Computer Science, page 836-851. Springer, (2020)The Estimation of the Optimal Level of Productivity for Sponsors in the Recovery and Enhancement of the Historical-Architectural Heritage., , , , , and . ICCSA (5), volume 12253 of Lecture Notes in Computer Science, page 285-299. Springer, (2020)Beware of Words: Evaluating the Lexical Richness of Conversational Large Language Models., , , , and . CoRR, (2024)Open Conversational LLMs do not know most Spanish words., , , , , , , and . Proces. del Leng. Natural, (2024)The continued usefulness of vocabulary tests for evaluating large language models., , , , , , and . CoRR, (2023)Open Source Conversational LLMs do not know most Spanish words., , , , , , , and . CoRR, (2024)How many words does ChatGPT know? The answer is ChatWords., , , , , and . CoRR, (2023)Playing with Words: Comparing the Vocabulary and Lexical Richness of ChatGPT and Humans., , , , and . CoRR, (2023)How Stable is Stable Diffusion under Recursive InPainting (RIP)?, , , , , and . CoRR, (2024)