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 13761400 of 4740 papers

TitleStatusHype
Context-Driven Interactive Query Simulations Based on Generative Large Language ModelsCode0
Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study0
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio0
StemGen: A music generation model that listens0
New Kids on the Block: On the impact of information retrieval on contextual resource integration patterns0
SM70: A Large Language Model for Medical Devices0
Visual Self-paced Iterative Learning for Unsupervised Temporal Action LocalizationCode0
Harnessing Retrieval-Augmented Generation (RAG) for Uncovering Knowledge GapsCode0
The performance of multiple language models in identifying offensive language on social media0
Quantum Private Information Retrieval from Coded Storage Systems0
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering0
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research0
Rethinking E-Commerce Search0
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic0
An AI-based solution for the cold start and data sparsity problems in the recommendation systems0
Event-driven Real-time Retrieval in Web Search0
Barwise Music Structure Analysis with the Correlation Block-Matching Segmentation Algorithm0
Hubness Reduction Improves Sentence-BERT Semantic SpacesCode0
End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene0
Search Still Matters: Information Retrieval in the Era of Generative AI0
SenTest: Evaluating Robustness of Sentence Encoders0
ClimateX: Do LLMs Accurately Assess Human Expert Confidence in Climate Statements?Code0
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers0
Pattern retrieval of traffic congestion using graph-based associations of traffic domain-specific features0
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models0
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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