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 4051–4075 of 14297 papers

TitleStatusHype
Domain Generalization with MixStyle—0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval—0
Accelerating Retrieval-Augmented Language Model Serving with Speculation—0
Domain-matched Pre-training Tasks for Dense Retrieval—0
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System—0
Cycle-Contrast for Self-Supervised Video Representation Learning—0
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval—0
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
Evaluation of semantic relations impact in query expansion-based retrieval systems—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Domain Transfer based Data Augmentation for Neural Query Translation—0
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem—0
Analysis and representation of Igbo text document for a text-based system—0
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers—0
CyberLoc: Towards Accurate Long-term Visual Localization—0
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache—0
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation—0
Don't forget private retrieval: distributed private similarity search for large language models—0
Don't Forget to Connect! Improving RAG with Graph-based Reranking—0
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately—0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering—0
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval—0
Bridging High-Quality Audio and Video via Language for Sound Effects Retrieval from Visual Queries—0
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey—0
CvxNet: Learnable Convex Decomposition—0
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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