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MEGA: Multilingual Evaluation of Generative AI., , , , , , , , , and 1 other author(s). CoRR, (2023)CultureLLM: Incorporating Cultural Differences into Large Language Models., , , , and . CoRR, (2024)Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs., , , , , and . CoRR, (2024)Two methods for assessing oral reading prosody., , and . ACM Trans. Speech Lang. Process., 7 (4): 14:1-14:22 (2011)DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer., , , , and . EACL, page 385-406. Association for Computational Linguistics, (2023)Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?, , , , , , , and . EACL (Findings), page 1051-1070. Association for Computational Linguistics, (2024)On the Universality of Deep Contextual Language Models., , , , and . ICON, page 106-119. NLP Association of India (NLPAI), (2021)A Hindi speech recognizer for an agricultural video search application., , , and . ACM DEV (3), page 5:1-5:8. ACM, (2013)Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world., , , , , and . ACL (tutorial), page 21-26. Association for Computational Linguistics, (2023)Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody., and . FLAIRS, AAAI Press, (2012)