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Information Retrieval
Information retrieval is a crucial task in the field of natural language processing, aimed at ranking document lists or search results in response to user queries. Its core objective is to enhance the efficiency with which users access relevant information by effectively and accurately matching queries to document content. Information retrieval holds significant value in applications such as search engines, recommendation systems, and digital libraries, where it can markedly improve user experience and the effectiveness of information utilization.
BSARD
Two-tower Bi-Encoder (RoBERTa)
MS MARCO
ConAE-128
TREC-PM
hpipubcommon
CQADupStack
SGPT-BE-5.8B
MSLR-WEB30K
Distilled Network
!(()&&!|*|*|
Ohsumed
Amazon
MIND
News Headlines
Information Retrieval + SVM
MTEB
MSMARCO
RetroMAE
NanoNQ
NanoHotpotQA
Evaluate
dim 256
SciGen Eval Set
dim 512
NanoQuoraRetrieval
NanoFEVER
NanoNFCorpus
NanoFiQA2018
NanoArguAna
dim 64
miracl
NanoMSMARCO
NanoDBPedia
dim 128
NanoSciFact
dim 768
dim 1024
NanoSCIDOCS
NanoClimateFEVER
dim 384
NanoTouche2020