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Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages, , , and . Findings of the Association for Computational Linguistics: ACL 2023, page 8320--8340. Toronto, Canada, Association for Computational Linguistics, (July 2023)From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL., , and . CoRR, (2023)Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages., , , and . ACL (Findings), page 8320-8340. Association for Computational Linguistics, (2023)Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages., , , and . CoRR, (2022)Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models., , , , and . CoRR, (2023)Crosslingual Retrieval Augmented In-context Learning for Bangla., , and . CoRR, (2023)Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach., , and . ALP@RANLP, page 68-79. INCOMA Ltd., Shoumen, Bulgaria / ACL, (2023)Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration., , and . EMNLP (Findings), page 15774-15782. Association for Computational Linguistics, (2023)GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network., , , , and . CoRR, (2024)Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding., , , and . KONVENS, page 1-16. Association for Computational Lingustics, (2023)