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
CQADupStack
SGPT-BE-5.8B
TREC-PM
hpipubcommon
!(()&&!|*|*|
Amazon
MIND
MSLR-WEB30K
Distilled Network
MSMARCO
RetroMAE
MTEB
News Headlines
Information Retrieval + SVM
Ohsumed
dim 1024
dim 128
dim 256
dim 384
dim 512
dim 64
dim 768
Evaluate
miracl
NanoArguAna
NanoClimateFEVER
NanoDBPedia
NanoFEVER
NanoFiQA2018
NanoHotpotQA
NanoMSMARCO
NanoNFCorpus
NanoNQ
NanoQuoraRetrieval
NanoSCIDOCS
NanoSciFact
NanoTouche2020
SciGen Eval Set