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

Showing 1305113100 of 14297 papers

TitleStatusHype
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical StudyCode0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
LaSER: Language-Specific Event RecommendationCode0
MM-Locate-News: Multimodal Focus Location Estimation in NewsCode0
Patch-Based Holographic Image SensingCode0
Holographic single particle imaging for weakly scattering, heterogeneous nanoscale objectsCode0
Agent-Enhanced Large Language Models for Researching Political InstitutionsCode0
LaSO: Label-Set Operations networks for multi-label few-shot learningCode0
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory RetrievalCode0
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video SearchCode0
Deep Learning for Audio Signal ProcessingCode0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
Music Instrument Classification ReprogrammedCode0
A General-Purpose Multilingual Document EncoderCode0
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking ResultsCode0
Latent Structured Hopfield Network for Semantic Association and RetrievalCode0
Multimodal LLM Enhanced Cross-lingual Cross-modal RetrievalCode0
Deep Learning based Recommender System: A Survey and New PerspectivesCode0
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context RepresentationsCode0
Deep Learning based Large Scale Visual Recommendation and Search for E-CommerceCode0
An Efficient Combinatorial Optimization Model Using Learning-to-Rank DistillationCode0
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image RetrievalCode0
Summarization-Based Document IDs for Generative Retrieval with Language ModelsCode0
CHEF: Cross-modal Hierarchical Embeddings for Food Domain RetrievalCode0
Deep Learning-Based Automatic Downbeat Tracking: A Brief ReviewCode0
A System for Comprehensive Assessment of RAG FrameworksCode0
How convolutional neural network see the world - A survey of convolutional neural network visualization methodsCode0
Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic FeaturesCode0
How Different are Pre-trained Transformers for Text Ranking?Code0
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageCode0
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal RetrievalCode0
Modality-Aware Representation Learning for Zero-shot Sketch-based Image RetrievalCode0
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
Deep Image Retrieval: Learning global representations for image searchCode0
Deep image representations using caption generatorsCode0
Deep Hashing with Category Mask for Fast Video RetrievalCode0
Reverse-Engineering the Retrieval Process in GenIR ModelsCode0
Inter-intra Variant Dual Representations forSelf-supervised Video RecognitionCode0
How Language-Neutral is Multilingual BERT?Code0
How “Loco” Is the LOCO Corpus? Annotating the Language of Conspiracy TheoriesCode0
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image RetrievalCode0
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific DocumentsCode0
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image RetrievalCode0
Asynchronous Training of Word Embeddings for Large Text CorporaCode0
How should we evaluate supervised hashing?Code0
Asymmetric Minwise HashingCode0
Deep Group-shuffling Random Walk for Person Re-identificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified