SOTAVerified

Information Retrieval

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

( Image credit: sudhanshumittal )

Papers

Showing 26262650 of 4740 papers

TitleStatusHype
Quran Intelligent Ontology Construction Approach Using Association Rules Mining0
QurSim: A corpus for evaluation of relatedness in short texts0
Qwant Research @DEFT 2019 : appariement de documents et extraction d'informations \`a partir de cas cliniques (Document matching and information retrieval using clinical cases)0
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases0
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education0
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models0
Radial Line Fourier Descriptor for Historical Handwritten Text Representation0
RALI System Description for CL-SciSumm 2016 Shared Task0
Random Walks for Knowledge-Based Word Sense Disambiguation0
Range Retrieval with Graph-Based Indices0
Rank4Class: A Ranking Formulation for Multiclass Classification0
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank0
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions0
RankDCG: Rank-Ordering Evaluation Measure0
Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation0
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models0
Ranking in Genealogy: Search Results Fusion at Ancestry0
Ranking relations using analogies in biological and information networks0
Ranking & Reweighting Improves Group Distributional Robustness0
Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications0
Ranking via Sinkhorn Propagation0
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank0
Rating and aspect-based opinion graph embeddings for explainable recommendations0
RDI\_Team at SemEval-2016 Task 3: RDI Unsupervised Framework for Text Ranking0
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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