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

Showing 501525 of 14297 papers

TitleStatusHype
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
Egocentric Video-Language PretrainingCode2
Backtracing: Retrieving the Cause of the QueryCode2
Seq vs Seq: An Open Suite of Paired Encoders and DecodersCode2
Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language ModelsCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI ToolCode2
CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive ProgrammingCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
AIR-Bench: Automated Heterogeneous Information Retrieval BenchmarkCode2
Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial ApplicationsCode2
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
Duoduo CLIP: Efficient 3D Understanding with Multi-View ImagesCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive RepresentationCode2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
EarthLoc: Astronaut Photography Localization by Indexing Earth from SpaceCode2
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View ImagesCode2
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
Disentangling Memory and Reasoning Ability in Large Language ModelsCode2
Discrete Event, Continuous Time RNNsCode2
Distillation Enhanced Generative RetrievalCode2
Document Expansion by Query PredictionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified