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ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
The rapid advancement of large language models (LLMs) necessitates the development of new benchmarks to accurately assess their capabilities.
Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature
We propose a data-driven method to extract dissimilarity between materials, with respect to a given target physical property.
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