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 6051–6100 of 14297 papers

TitleStatusHype
Text2shape Deep Retrieval Model: Generating Initial Cases for Mechanical Part Redesign under the Context of Case-Based Reasoning—0
Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose EstimationCode2
SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted IndexesCode4
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-Modal Information Retrieval—0
Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents—0
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal ModelingCode1
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking—0
Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
MatKB: Semantic Search for Polycrystalline Materials Synthesis ProceduresCode0
Overview of the TREC 2022 Fair Ranking Track—0
Sketch Less Face Image Retrieval: A New ChallengeCode1
Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models—0
Alloprof: a new French question-answer education dataset and its use in an information retrieval case studyCode0
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval—0
CREDENCE: Counterfactual Explanations for Document Ranking—0
Fast Gumbel-Max Sketch and its Applications—0
Is Multimodal Vision Supervision Beneficial to Language?Code0
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning—0
A Hopfield-like model with complementary encodings of memories—0
Hierarchical Event Grounding—0
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories—0
OPORP: One Permutation + One Random Projection—0
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service SupportCode1
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective—0
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image RetrievalCode1
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text RetrievalCode1
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous InputsCode1
Recommender Systems: A Primer—0
Phase Retrieval for Rydberg Quantum Arrays—0
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalCode1
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections—0
Efficient End-to-End Video Question Answering with Pyramidal Multimodal TransformerCode0
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense RetrievalCode0
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localizationCode1
Committed Private Information RetrievalCode0
Goniometers are a Powerful Acoustic Feature for Music Information Retrieval TasksCode0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Using In-Context Learning to Improve Dialogue Safety—0
Disentanglement of Latent Representations via Causal InterventionsCode0
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran—0
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its ApplicationsCode1
What Makes Good Examples for Visual In-Context Learning?Code1
Machine Translation Impact in E-commerce Multilingual Search—0
In-Context Retrieval-Augmented Language ModelsCode2
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic EnvironmentsCode1
An Analysis of Classification Approaches for Hit Song Prediction using Engineered Metadata Features with Lyrics and Audio Features—0
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
FLAME: A small language model for spreadsheet formulas—0
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval—0
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens—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