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
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering—0
Estimation of Speaking Style in Speech Corpora Focusing on speech transcriptions—0
Are manual annotations necessary for statutory interpretations retrieval?—0
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries—0
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval—0
DOLPHIn - Dictionary Learning for Phase Retrieval—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling—0
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling—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
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search—0
Estimating Robust Query Models with Convex Optimization—0
Chinese Characters Mapping Table of Japanese, Traditional Chinese and Simplified Chinese—0
Domain Adaptation in Multi-View Embedding for Cross-Modal Video 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
MapQA: Open-domain Geospatial Question Answering on Map Data—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
Estimating Personal Model Parameters from Utterances in Model-based Reminiscence—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