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 Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and RerankingCode2
Animate-A-Story: Storytelling with Retrieval-Augmented Video GenerationCode2
Retrieval with Learned SimilaritiesCode2
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented GenerationCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language ModelsCode2
CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive ProgrammingCode2
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMsCode2
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval InterfaceCode2
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Enabling Large Language Models to Generate Text with CitationsCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
Duoduo CLIP: Efficient 3D Understanding with Multi-View ImagesCode2
Document Expansion by Query PredictionCode2
Do You Remember? Dense Video Captioning with Cross-Modal Memory RetrievalCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
Disentangling Memory and Reasoning Ability in Large Language ModelsCode2
Discrete Event, Continuous Time RNNsCode2
Distillation Enhanced Generative RetrievalCode2
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
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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