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 401450 of 14297 papers

TitleStatusHype
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
Mixture of A Million ExpertsCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
Oceanship: A Large-Scale Dataset for Underwater Audio Target RecognitionCode2
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image RetrievalCode2
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsCode2
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive RepresentationCode2
A Replication Study of Dense Passage RetrieverCode2
Multilingual Search with Subword TF-IDFCode2
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsCode2
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a BenchmarkCode2
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge GraphsCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D RecognitionCode2
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMsCode2
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation AlignmentCode2
NLLB-CLIP -- train performant multilingual image retrieval model on a budgetCode2
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsCode2
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View ImagesCode2
Extended Mind TransformersCode2
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMsCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity SearchCode2
OpenICL: An Open-Source Framework for In-context LearningCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Enabling Large Language Models to Generate Text with CitationsCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Egocentric Video-Language PretrainingCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Retrieval with Learned SimilaritiesCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
Associative Recurrent Memory TransformerCode2
Position Interpolation Improves ALiBi ExtrapolationCode2
Pretrained Transformers for Text Ranking: BERT and BeyondCode2
Pretrained Visual UncertaintiesCode2
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment RetrievalCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense RepresentationsCode2
A Survey of Personalization: From RAG to AgentCode2
AIR-Bench: Automated Heterogeneous Information Retrieval BenchmarkCode2
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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