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 501550 of 14297 papers

TitleStatusHype
Flow-Guided Transformer for Video InpaintingCode2
Cross-lingual and Multilingual CLIPCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Code2
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person RetrievalCode2
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented GenerationCode2
Tip-Adapter: Training-free Adaption of CLIP for Few-shot ClassificationCode2
ToolGen: Unified Tool Retrieval and Calling via GenerationCode2
Toward General Instruction-Following Alignment for Retrieval-Augmented GenerationCode2
Fine-grained Image Captioning with CLIP RewardCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
ARAGOG: Advanced RAG Output GradingCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
FLAIR: VLM with Fine-grained Language-informed Image RepresentationsCode2
Generating Images with Multimodal Language ModelsCode2
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image RetrievalCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a BenchmarkCode2
Enabling Large Language Models to Generate Text with CitationsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Extended Mind TransformersCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Retrieval with Learned SimilaritiesCode2
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMsCode2
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
Egocentric Video-Language PretrainingCode2
EarthLoc: Astronaut Photography Localization by Indexing Earth from SpaceCode2
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval InterfaceCode2
Animate-A-Story: Storytelling with Retrieval-Augmented Video GenerationCode2
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
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse RepresentationsCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code2
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationCode2
A Foundation Model for Music InformaticsCode2
Contrastive language and vision learning of general fashion conceptsCode2
Distillation Enhanced Generative RetrievalCode2
Document Expansion by Query PredictionCode2
Discrete Event, Continuous Time RNNsCode2
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal ServicesCode2
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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