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Making Large Language Models A Better Foundation For Dense Retrieval., , , and . CoRR, (2023)An overview of brain-like computing: Architecture, applications, and future trends., , , , and . Frontiers Neurorobotics, (2022)Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search., , , , , , , , , and 2 other author(s). CoRR, (2022)GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph., , , , , , , , and . NeurIPS, page 28798-28810. (2021)BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation., , , , , and . CoRR, (2024)Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization., , , and . CoRR, (2024)Retrieve Anything To Augment Large Language Models., , , , and . CoRR, (2023)Search-oriented Differentiable Product Quantization., , , , and . CoRR, (2021)LM-Cocktail: Resilient Tuning of Language Models via Model Merging., , , and . CoRR, (2023)GraphFormers: GNN-nested Language Models for Linked Text Representation., , , , , and . CoRR, (2021)