从EMNLP 2022速览信息检索领域最新研究进展
2、Large Dual Encoders Are Generalizable Retrievers
3、RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
5、ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval
6、Explicit Query Rewriting for Conversational Dense Retrieval
7、Pseudo-Relevance for Enhancing Document Representation
8、Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples
9、CodeRetriever: Large-scale Contrastive Pre-training for Code Search
10、Exploring Representation-Level Augmentation for Code Search
11、Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization
12、Generative Multi-hop Retrieval
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