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 5101–5150 of 14297 papers

TitleStatusHype
Dynamic Facet Selection by Maximizing Graded RelevanceCode0
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGCode0
A Comparison of Methods for Evaluating Generative IRCode0
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer ModelCode0
A Critical Review of Recurrent Neural Networks for Sequence LearningCode0
From Swath to Full-Disc: Advancing Precipitation Retrieval with Multimodal Knowledge ExpansionCode0
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support ConversationCode0
From Selective Deep Convolutional Features to Compact Binary Representations for Image RetrievalCode0
From Third Person to First Person: Dataset and Baselines for Synthesis and RetrievalCode0
Generating Diverse and Meaningful CaptionsCode0
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion RetrievalCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQLCode0
Dynamically-Scaled Deep Canonical Correlation AnalysisCode0
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal RetrievalCode0
Fast deep reinforcement learning using online adjustments from the pastCode0
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained VideosCode0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
From Coarse to Fine: Robust Hierarchical Localization at Large ScaleCode0
Faster Learned Sparse Retrieval with Guided TraversalCode0
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory SearchCode0
Dwell in the Beginning: How Language Models Embed Long Documents for Dense RetrievalCode0
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataCode0
FrameFinder: Explorative Multi-Perspective Framing Extraction from News HeadlinesCode0
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory NetworksCode0
Answering Complex Questions Using Open Information ExtractionCode0
Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim RetrievalCode0
Duet at TREC 2019 Deep Learning TrackCode0
Food Recommendations for Reducing Water FootprintCode0
FormulaReasoning: A Dataset for Formula-Based Numerical ReasoningCode0
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature LearningCode0
Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and GroundingCode0
Answering Complex Open-domain Questions Through Iterative Query GenerationCode0
Dual Skipping Guidance for Document Retrieval with Learned Sparse RepresentationsCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
ALOHA: Artificial Learning of Human Attributes for Dialogue AgentsCode0
From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory tracesCode0
Generating Images from Captions with AttentionCode0
Dual-Path Convolutional Image-Text Embeddings with Instance LossCode0
FLEURS: Few-shot Learning Evaluation of Universal Representations of SpeechCode0
Answer-based Adversarial Training for Generating Clarification QuestionsCode0
FixMyPose: Pose Correctional Captioning and RetrievalCode0
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based ChatbotsCode0
BT^2: Backward-compatible Training with Basis TransformationCode0
Dual-level Semantic Transfer Deep Hashing for Efficient Social Image RetrievalCode0
FIRE: Food Image to REcipe generationCode0
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-IdentificationCode0
FitCLIP: Refining Large-Scale Pretrained Image-Text Models for Zero-Shot Video Understanding TasksCode0
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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