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 6976–7000 of 14297 papers

TitleStatusHype
I know why you like this movie: Interpretable Efficient Multimodal Recommender—0
Augmenting Language Models with Long-Term Memory—0
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model—0
Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement—0
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task—0
KIMAs: A Configurable Knowledge Integrated Multi-Agent System—0
KIMERA: Injecting Domain Knowledge into Vacant Transformer Heads—0
Cross-lingual Adaptation for Recipe Retrieval with Mixup—0
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data—0
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier—0
KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making—0
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure—0
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework—0
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities—0
KLUCB Approach to Copeland Bandits—0
A Multi-level Alignment Training Scheme for Video-and-Language Grounding—0
Adaptive Representations for Tracking Breaking News on Twitter—0
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge—0
KNET: Integrating Hypermedia and Bayesian Modeling—0
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models—0
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies—0
IITD-DBAI: Multi-Stage Retrieval with Pseudo-Relevance Feedback and Query Reformulation—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
Approximate k-NN Graph Construction: a Generic Online Approach—0
Cross-language Sentence Selection via Data Augmentation and Rationale Training—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