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 9076–9100 of 14297 papers

TitleStatusHype
Multimodal Contrastive Training for Visual Representation Learning—0
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval—0
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled VideosCode1
Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention—0
A unified Neural Network Approach to E-CommerceRelevance Learning—0
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of IdiomsCode1
The 5th AI City ChallengeCode1
A Bi-Encoder LSTM Model For Learning Unstructured DialogsCode0
Learning Passage Impacts for Inverted IndexesCode1
MusCaps: Generating Captions for Music AudioCode1
Form 10-Q Itemization—0
Playing Lottery Tickets with Vision and Language—0
Learning to Cluster Faces via Transformer—0
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis—0
Memory retrieval dynamics and storage capacity of a modular network model of association cortex with featural decomposition—0
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification—0
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory NetworksCode0
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks—0
SBNet: Segmentation-based Network for Natural Language-based Vehicle Search—0
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval—0
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and TextCode1
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-OversCode0
Interpretation of multi-label classification models using shapley valuesCode0
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics—0
Compact and Effective Representations for Sketch-based Image Retrieval—0
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All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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