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 57265750 of 14297 papers

TitleStatusHype
Generalized Weak Supervision for Neural Information Retrieval0
A Survey for Biomedical Text Summarization: From Pre-trained to Large Language ModelsCode0
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation EnsembleCode0
Phase-Retrieval with Incomplete Autocorrelations Using Deep Convolutional AutoencodersCode0
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets0
D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings0
PTC-Net: Point-Wise Transformer with Sparse Convolution Network for Place RecognitionCode1
Metric-agnostic Ranking Optimization0
Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference0
ERTIM@MC2: Diversified Argumentative Tweets Retrieval0
Typos-aware Bottlenecked Pre-Training for Robust Dense RetrievalCode0
Statute-enhanced lexical retrieval of court cases for COLIEE 20220
Reward-free Policy Imitation Learning for Conversational Search0
Learning To Rank Resources with GNN0
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and DatasetCode2
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification0
Language Guided Local Infiltration for Interactive Image Retrieval0
Robust Cross-Modal Knowledge Distillation for Unconstrained VideosCode1
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging0
Chain of Thought Prompt Tuning in Vision Language Models0
The 7th AI City Challenge0
Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging0
CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Structure for Vision-Language Retrieval0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision0
Tempo vs. Pitch: understanding self-supervised tempo estimationCode1
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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