bge-small-en-v1.5

Papers using or citing this model 5

• C-Pack: Packed Resources For General Chinese Embeddings 1K citations · 2023 · arXiv (Cornell University) · arXiv

  We introduce C-Pack, a package of resources that significantly advance the field of general Chinese embeddings. C-Pack includes three critical resources. 1) C-MTEB is a comprehensive benchmark for Chinese text embeddings covering 6...

• Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval 122 citations · 2023 · arXiv (Cornell University) · arXiv

  Dense retrieval calls for discriminative embeddings to represent the semantic relationship between query and document. It may benefit from the using of large language models (LLMs), given LLMs' strong capability on semantic...

• Long Context Compression with Activation Beacon 119 citations · 2024 · arXiv (Cornell University) · arXiv

  Long context compression is a critical research problem due to its significance in reducing the high computational and memory costs associated with LLMs. In this paper, we propose Activation Beacon, a plug-in module for...

• A Multi-Task Embedder For Retrieval Augmented LLMs 103 citations · 2023 · arXiv (Cornell University) · arXiv

  LLMs confront inherent limitations in terms of its knowledge, memory, and action. The retrieval augmentation stands as a vital mechanism to address these limitations, which brings in useful information from external sources to augment...

• LM-Cocktail: Resilient Tuning of Language Models via Model Merging 57 citations · 2023 · arXiv (Cornell University) · arXiv

  The pre-trained language models are continually fine-tuned to better support downstream applications. However, this operation may result in significant performance degeneration on general tasks beyond the targeted domain. To overcome...