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 326–350 of 14297 papers

TitleStatusHype
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Associative Recurrent Memory TransformerCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
FLAIR: VLM with Fine-grained Language-informed Image RepresentationsCode2
A Survey of Personalization: From RAG to AgentCode2
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoMLCode2
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationCode2
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano musicCode2
Generating Images with Multimodal Language ModelsCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
Active Retrieval Augmented GenerationCode2
KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding ModelCode2
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
EVOR: Evolving Retrieval for Code GenerationCode2
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)Code2
Contrastive language and vision learning of general fashion conceptsCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
A Replication Study of Dense Passage RetrieverCode2
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationCode2
HourVideo: 1-Hour Video-Language UnderstandingCode2
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
ARAGOG: Advanced RAG Output GradingCode2
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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