SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 8551–8575 of 14297 papers

TitleStatusHype
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval—0
Enabling variable high spatial resolution retrieval from a long pulse BOTDA sensor—0
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language—0
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval—0
3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow—0
Enabling Complex Wikipedia Queries - Technical Report—0
Emulating Human Conversations using Convolutional Neural Network-based IR—0
Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis—0
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs—0
Emptying the Ocean with a Spoon: Should We Edit Models?—0
A Practical Entity Linking System for Tables in Scientific Literature—0
Sparse Multi-Reference Alignment : Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem—0
Empowering Working Memory for Large Language Model Agents—0
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation—0
A Practical Deep Online Ranking System in E-commerce Recommendation—0
A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques—0
Multiresolution Graph Attention Networks for Relevance Matching—0
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines—0
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval—0
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models—0
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights—0
Empowering Agentic Video Analytics Systems with Video Language Models—0
Causal Estimation of Position Bias in Recommender Systems Using Marketplace Instruments—0
AppTechMiner: Mining Applications and Techniques from Scientific Articles—0
Empirical performance maximization for linear rank statistics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified