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 1301–1350 of 14297 papers

TitleStatusHype
ASPIRE: Assistive System for Performance Evaluation in IRCode1
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule DiscoveryCode1
Fast k-NN Graph Construction by GPU based NN-DescentCode1
Cascaded Multilingual Audio-Visual Learning from VideosCode1
A Corpus for Understanding and Generating Moral StoriesCode1
CLIP-Event: Connecting Text and Images with Event StructuresCode1
Active Image IndexingCode1
FastFill: Efficient Compatible Model UpdateCode1
Fast Online Hashing with Multi-Label ProjectionCode1
Feature Re-Learning with Data Augmentation for Video Relevance PredictionCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Data Curation Alone Can Stabilize In-context LearningCode1
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust LearningCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
CNN Based Autoencoder Application in Breast Cancer Image RetrievalCode1
Fast and Light-Weight Answer Text Retrieval in Dialogue SystemsCode1
Assisting Mathematical Formalization with A Learning-based Premise RetrieverCode1
Active Learning from the WebCode1
Co-Attention Aligned Mutual Cross-Attention for Cloth-Changing Person Re-IdentificationCode1
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information AssistantCode1
AssistSR: Task-oriented Video Segment Retrieval for Personal AI AssistantCode1
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit SimilarityCode1
Fast and Scalable Image Search For HistologyCode1
Faster Learned Sparse Retrieval with Block-Max PruningCode1
COBRA: Contrastive Bi-Modal Representation AlgorithmCode1
A Large Cross-Modal Video Retrieval Dataset with Reading ComprehensionCode1
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelCode1
Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity PriorCode1
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted ListCode1
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code MatchingCode1
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level RetrievalCode1
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural NetworksCode1
Code Recommendation for Open Source Software DevelopersCode1
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing ModalitiesCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
Fast and Incremental Loop Closure Detection Using Proximity GraphsCode1
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate SpeechCode1
A Straightforward Framework For Video Retrieval Using CLIPCode1
A large-scale study of the effects of word frequency and predictability in naturalistic readingCode1
A Strong Baseline for Fashion Retrieval with Person Re-Identification ModelsCode1
Cognitive Reframing of Negative Thoughts through Human-Language Model InteractionCode1
Fast Exact Retrieval for Nearest-neighbor Lookup (FERN)Code1
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalCode1
Familiarity-Aware Evidence Compression for Retrieval-Augmented GenerationCode1
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal RetrievalCode1
Collaborative Retrieval for Large Language Model-based Conversational Recommender SystemsCode1
A Study of Situational Reasoning for Traffic UnderstandingCode1
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal EncoderCode1
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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