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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8926–8950 of 14297 papers

TitleStatusHype
Objects that Sound—0
Occlusion-Aware Search for Object Retrieval in Clutter—0
Multilingual Few-Shot Learning via Language Model Retrieval—0
Efficient Immediate-Access Dynamic Indexing—0
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening—0
Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets—0
Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching—0
Object-Centric Representation Learning from Unlabeled Videos—0
Efficient image retrieval using multi neural hash codes and bloom filters—0
Multilingual Evaluation of Semantic Textual Relatedness—0
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution—0
Object-based Multipass InSAR via Robust Low Rank Tensor Decomposition—0
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study—0
Emulating Human Conversations using Convolutional Neural Network-based IR—0
Near Optimal Heteroscedastic Regression with Symbiotic Learning—0
Near Real-time CO_2 Emissions Based on Carbon Satellite and Artificial Intelligence—0
NeCo@ALQAC 2023: Legal Domain Knowledge Acquisition for Low-Resource Languages through Data Enrichment—0
Neural Approaches to Multilingual Information Retrieval—0
A Finite-State Morphological Analyser for Sindhi—0
Dynamic Spatial Verification for Large-Scale Object-Level Image Retrieval—0
Object-Centric Open-Vocabulary Image-Retrieval with Aggregated Features—0
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks?—0
Enabling variable high spatial resolution retrieval from a long pulse BOTDA sensor—0
Negative-aware Entity Set Expansion—0
Object Detection based Deep Unsupervised Hashing—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