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 351–375 of 14297 papers

TitleStatusHype
LumberChunker: Long-Form Narrative Document SegmentationCode2
One Thousand and One Pairs: A "novel" challenge for long-context language modelsCode2
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersCode2
Duoduo CLIP: Efficient 3D Understanding with Multi-View ImagesCode2
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsCode2
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language ModelCode2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image RetrievalCode2
Needle In A Multimodal HaystackCode2
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance AssessorCode2
Recurrent Context Compression: Efficiently Expanding the Context Window of LLMCode2
Hello Again! LLM-powered Personalized Agent for Long-term DialogueCode2
Extended Mind TransformersCode2
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent ControlCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Composed Image Retrieval for Remote SensingCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenCode2
ProtT3: Protein-to-Text Generation for Text-based Protein UnderstandingCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
BoQ: A Place is Worth a Bag of Learnable QueriesCode2
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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