BEIR
Canonical17papers using it
2021first seen
A heterogeneous benchmark of 18 information-retrieval datasets for zero-shot evaluation of retrieval models.
Papers using BEIR (17)
- Efficient Constant-Space Multi-Vector RetrievalZero-shot Dense Retrieval With Momentum Adversarial Domain Invariant RepresentationsBeyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus InteractionNo More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector RetrievalColBERT-Att: Late-Interaction Meets Attention for Enhanced RetrievalMulti-Vector Index Compression in Any ModalityIncorporating Token Importance in Multi-Vector RetrievalE2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise RerankerApproximate Cluster-based Sparse Document Retrieval With Segmented Maximum Term WeightsSPLADE v2: Sparse Lexical and Expansion Model for Information RetrievalSLIM: Sparsified Late Interaction for Multi-Vector Retrieval with
Inverted IndexesCITADEL: Conditional Token Interaction via Dynamic Lexical Routing for
Efficient and Effective Multi-Vector RetrievalOperational Advice for Dense and Sparse Retrievers: HNSW, Flat, or
Inverted Indexes?Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant
RepresentationsAnserini Gets Dense Retrieval: Integration of Lucene's HNSW IndexesApproximate Cluster-Based Sparse Document Retrieval with Segmented
Maximum Term WeightsMUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings