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 8076–8100 of 14297 papers

TitleStatusHype
Making question answering more robust through relevant context selection—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
A Transformer-based Embedding Model for Personalized Product Search—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning—0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
Hakim: Farsi Text Embedding Model—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation—0
A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery—0
mAnI: Movie Amalgamation using Neural Imitation—0
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment—0
MAP: Microblogging Assisted Profiling of TV Shows—0
Adaptive Cross Batch Normalization for Metric Learning—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval—0
Rethinking Loss Design for Large-scale 3D Shape Retrieval—0
Mapping Unparalleled Clinical Professional and Consumer Languages with Embedding Alignment—0
Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging—0
Hadamard Codebook Based Deep Hashing—0
MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction—0
MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
mARC: Memory by Association and Reinforcement of Contexts—0
Habit Coach: Customising RAG-based chatbots to support behavior change—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