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 7276–7300 of 14297 papers

TitleStatusHype
A new algorithm for shape matching and pattern recognition using dynamic programming—0
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering—0
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations—0
HunOr: A Hungarian---Russian Parallel Corpus—0
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments—0
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning—0
Crawler for Image Acquisition from World Wide Web—0
Learned versus Hand-Designed Feature Representations for 3d Agglomeration—0
Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions—0
Human-Oriented Image Retrieval System (HORSE): A Neuro-Symbolic Approach to Optimizing Retrieval of Previewed Images—0
Human memory search as a random walk in a semantic network—0
Learning a Facial Expression Embedding Disentangled From Identity—0
Audio Interval Retrieval using Convolutional Neural Networks—0
A Modular Architecture for Unsupervised Sarcasm Generation—0
Learning Aligned Cross-Modal Representations from Weakly Aligned Data—0
Learning Alternative Name Spellings—0
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems—0
Human-in-the-Loop Schema Induction—0
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
Learning and Crafting for the Wide Multiple Baseline Stereo—0
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks—0
Learning and Retrieval from Prior Data for Skill-based Imitation Learning—0
Human in the loop approaches in multi-modal conversational task guidance system development—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