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MELA: Multilingual Evaluation of Linguistic Acceptability
Recent benchmarks for Large Language Models (LLMs) have mostly focused on application-driven tasks such as complex reasoning and code generation, and this has led to a scarcity in purely linguistic evaluation of LLMs.
Do prompt positions really matter?
Prompt-based models have gathered a lot of attention from researchers due to their remarkable advancements in the fields of zero-shot and few-shot learning.
Data-Driven Model Reduction by Two-Sided Moment Matching
In this brief paper, we propose a time-domain data-driven method for model order reduction by two-sided moment matching for linear systems.
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