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Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs., , , , , and . CoRR, (2024)On the Universality of Deep Contextual Language Models., , , , and . ICON, page 106-119. NLP Association of India (NLPAI), (2021)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)Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody., and . FLAIRS, AAAI Press, (2012)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)A Hindi speech recognizer for an agricultural video search application., , , and . ACM DEV (3), page 5:1-5:8. ACM, (2013)DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures., , , and . LREC/COLING, page 5323-5337. ELRA and ICCL, (2024)Speech Synthesis for Mixed-Language Navigation Instructions., , , and . INTERSPEECH, page 57-61. ISCA, (2017)MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages., , , , , , , , , and 10 other author(s). Interspeech, page 2446-2450. ISCA, (2021)