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

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Showing 2001–2025 of 4740 papers

TitleStatusHype
Event-centric Query Suggestion for Online News—0
Diagnosing BERT with Retrieval HeuristicsCode0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—0
State of the Art of User Simulation approaches for conversational information retrieval—0
Continual Learning of Long Topic Sequences in Neural Information RetrievalCode0
A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages—0
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?—0
An Ensemble Approach to Acronym Extraction using TransformersCode0
Coherence-Based Distributed Document Representation Learning for Scientific DocumentsCode0
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search—0
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation—0
Monitoring Energy Trends through Automatic Information Extraction—0
Utilizing Wordnets for Cognate Detection among Indian Languages—0
The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement—0
Disentanglement by Cyclic ReconstructionCode0
An Efficient Combinatorial Optimization Model Using Learning-to-Rank DistillationCode0
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish LanguageCode0
Multimodal Entity Tagging with Multimodal Knowledge BaseCode0
Challenge Dataset of Cognates and False Friend Pairs from Indian LanguagesCode0
Rank4Class: A Ranking Formulation for Multiclass Classification—0
Product Information Browsing Support System Using Analytic Hierarchy Process—0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Cognition-aware Cognate DetectionCode0
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All datasetsBSARDMS MARCOCQADupStackTREC-PMAmazonMSLR WEB30KMSMARCOMTEBNews HeadlinesOhsumed

Benchmark Results

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