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 4176–4200 of 14297 papers

TitleStatusHype
Language-only Training of Zero-shot Composed Image RetrievalCode2
Holistic Features are almost Sufficient for Text-to-Video RetrievalCode1
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval—0
Characteristics Matching Based Hash Codes Generation for Efficient Fine-grained Image Retrieval—0
Building Vision-Language Models on Solid Foundations with Masked Distillation—0
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods—0
ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and DeformationCode1
READ: Retrieval-Enhanced Asymmetric Diffusion for Motion PlanningCode1
Retrieval-Augmented Egocentric Video Captioning—0
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation LearningCode1
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain AdaptationCode0
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performanceCode0
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen ObjectsCode1
Analyzing Local Representations of Self-supervised Vision Transformers—0
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM—0
SynCDR : Training Cross Domain Retrieval Models with Synthetic DataCode0
Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image RetrievalCode1
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented GenerationCode1
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence RegularizationCode1
Investigating the Effects of Sparse Attention on Cross-EncodersCode0
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive QueriesCode0
ChatEd: A Chatbot Leveraging ChatGPT for an Enhanced Learning Experience in Higher Education—0
Structured Packing in LLM Training Improves Long Context Utilization—0
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model—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