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 3376–3400 of 4740 papers

TitleStatusHype
Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation—0
Modeling User Preferences via Brain-Computer Interfacing—0
Modelling Dynamic Interactions between Relevance Dimensions—0
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network—0
Modelling Word Burstiness in Natural Language: A Generalised Polya Process for Document Language Models in Information Retrieval—0
Modulating Language Model Experiences through Frictions—0
Monitoring Energy Trends through Automatic Information Extraction—0
Mood Classification of Hindi Songs based on Lyrics—0
Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association—0
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching—0
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders—0
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks—0
Moses-based official baseline for NEWS 2016—0
Movie-DiC: a Movie Dialogue Corpus for Research and Development—0
Movie recommender system with metaheuristic artificial bee—0
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking—0
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark—0
MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model—0
MSTParser Model Interpolation for Multi-Source Delexicalized Transfer—0
MusicTM-Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio—0
MT Quality Estimation: The CMU System for WMT’13—0
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access—0
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
Multichannel LSTM-CNN for Telugu Text Classification—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