SOTAVerified

Information Retrieval

Information retrieval is the task of ranking a list of documents or search results in response to a query

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Papers

Showing 101125 of 4740 papers

TitleStatusHype
Omnizart: A General Toolbox for Automatic Music TranscriptionCode2
FinBERT-QA: Financial Question Answering with pre-trained BERT Language ModelsCode2
FIRST: Faster Improved Listwise Reranking with Single Token DecodingCode2
InPars: Data Augmentation for Information Retrieval using Large Language ModelsCode2
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language ModelsCode2
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense RepresentationsCode2
Eureka: Evaluating and Understanding Large Foundation ModelsCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsCode2
Differential TransformerCode2
Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure AnalysisCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed AudioCode2
A Foundation Model for Music InformaticsCode2
AIR-Bench: Automated Heterogeneous Information Retrieval BenchmarkCode2
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive LearningCode2
Scientific QA System with Verifiable AnswersCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
SUQL: Conversational Search over Structured and Unstructured Data with Large Language ModelsCode2
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information RetrievalCode2
The Power of Noise: Redefining Retrieval for RAG SystemsCode2
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of RerankersCode2
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM EraCode2
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-tower Bi-Encoder (RoBERTa)Recall@10074.78Unverified
2Siamese Bi-Encoder (RoBERTa)Recall@10071.63Unverified
3BM25Recall@10051.33Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAE v2MRR@1042.58Unverified
2ConAE-256Time (ms)0.33Unverified
3ConAE-128Time (ms)0.32Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BmAP@1000.16Unverified
2TSDAEmAP@1000.15Unverified
#ModelMetricClaimedVerifiedStatus
1hpipubcommoninfNDCG0.56Unverified
2hpictallinfNDCG0.55Unverified
#ModelMetricClaimedVerifiedStatus
1MINDHR@300.32Unverified
#ModelMetricClaimedVerifiedStatus
1Distilled NetworknDCG@100.53Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAEMRR@100.42Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-5.8B-msmarconDCG@1050.25Unverified
#ModelMetricClaimedVerifiedStatus
1Information Retrieval + SVM1:1 Accuracy83.79Unverified
#ModelMetricClaimedVerifiedStatus
1BERT+CONCEPT FILTERNDCG0.25Unverified