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 2151–2175 of 4740 papers

TitleStatusHype
A Survey of Plagiarism Detection Systems: Case of Use with English, French and Arabic Languages—0
Contextualization for the Organization of Text Documents Streams—0
A Survey of Multimodal Retrieval-Augmented Generation—0
A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases—0
Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction—0
Context-Sensitive Recognition for Emerging and Rare Entities—0
Context-Sensitive Generation of Open-Domain Conversational Responses—0
A Survey of Model Architectures in Information Retrieval—0
Context Sensitive Article Ranking with Citation Context Analysis—0
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
Context manipulation attacks : Web agents are susceptible to corrupted memory—0
A Survey of Large Language Model Agents for Question Answering—0
A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions—0
Context-Efficient Retrieval with Factual Decomposition—0
A multimodal deep learning approach for named entity recognition from social media—0
A Deep Look into Neural Ranking Models for Information Retrieval—0
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification—0
INAOE\_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity—0
Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques—0
Context-aware query design combines knowledge and data for efficient reading and reasoning—0
A Survey of Data Mining Techniques for Social Media Analysis—0
Context-Aware Neural Model for Temporal Information Extraction—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
A Survey of Conversational Search—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