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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2751–2775 of 4740 papers

TitleStatusHype
Adversarial Learning for Improved Onsets and Frames Music Transcription—0
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big DatasetsCode0
Understanding, Categorizing and Predicting Semantic Image-Text Relations—0
Domain Adaptation for Enterprise Email Search—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Practical User Feedback-driven Internal Search Using Online Learning to Rank—0
Neural Arabic Question AnsweringCode0
HEAD-QA: A Healthcare Dataset for Complex Reasoning—0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
Question Answering as Global Reasoning over Semantic AbstractionsCode0
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations—0
Deep Contextualized Biomedical Abbreviation Expansion—0
Recovering Variable Names for Minified Code with Usage Contexts—0
Compositional Questions Do Not Necessitate Multi-hop ReasoningCode0
A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text MiningCode0
Unsupervised Neural Generative Semantic Hashing—0
LT Expertfinder: An Evaluation Framework for Expert Finding MethodsCode0
Conversation Initiation by Diverse News Contents Introduction—0
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation—0
IoT Network Security from the Perspective of Adversarial Deep Learning—0
Quantifying consensus of rankings based on q-support patternsCode0
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III ErrorsCode0
Precision-Recall Curves Using Information Divergence Frontiers—0
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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