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 3251–3275 of 4740 papers

TitleStatusHype
LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation—0
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models—0
Machine Learning Approaches for Amharic Parts-of-speech Tagging—0
Machine learning approach for text and document mining—0
Machine Learning, Clustering, and Polymorphy—0
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting—0
Machine learning methods for multimedia information retrieval—0
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey—0
Machine Learning with World Knowledge: The Position and Survey—0
Machine Psychology—0
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots—0
Machine Translation and Automated Analysis of the Sumerian Language—0
Machine Translation Impact in E-commerce Multilingual Search—0
Machine Translation of Medical Texts in the Khresmoi Project—0
MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering—0
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation—0
MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation—0
Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project—0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
Manawi: Using Multi-Word Expressions and Named Entities to Improve Machine Translation—0
Map&Make: Schema Guided Text to Table Generation—0
Mapping it differently: A solution to the linking challenges—0
Mapping Source to Target Strings without Alignment by Analogical Learning: A Case Study with Transliteration—0
Mapping WordNet synsets to Wikipedia articles—0
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations—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