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Evaluating Parameter Efficient Learning for Generation., , , , , , , , and . EMNLP, page 4824-4833. Association for Computational Linguistics, (2022)Reducing Activation Recomputation in Large Transformer Models, , , , , , and . (2022)NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models., , , , , , and . CoRR, (2024)RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs., , , , , , , and . CoRR, (2024)BioMegatron: Larger Biomedical Domain Language Model., , , , , , and . EMNLP (1), page 4700-4706. Association for Computational Linguistics, (2020)Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models., , , , and . CoRR, (2024)Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning., , , , , , , , , and 6 other author(s). EMNLP (Findings), page 11844-11857. Association for Computational Linguistics, (2023)An adaptive implicit-explicit scheme for the DNS and LES of compressible flows on unstructured grids., , , and . J. Comput. Phys., 229 (17): 5944-5965 (2010)An Empirical Study of Mamba-based Language Models., , , , , , , , , and 6 other author(s). CoRR, (2024)ChatQA: Building GPT-4 Level Conversational QA Models., , , , , , and . CoRR, (2024)