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 21512200 of 14297 papers

TitleStatusHype
CREPE: Can Vision-Language Foundation Models Reason Compositionally?Code1
Decouple knowledge from parameters for plug-and-play language modelingCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deep Complex NetworksCode1
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
DeeperImpact: Optimizing Sparse Learned Index StructuresCode1
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal EncoderCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
Cross-Batch Memory for Embedding LearningCode1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
Deep Self-Supervised Representation Learning for Free-Hand SketchCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Can large language models reason about medical questions?Code1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate SystemCode1
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
Data-Free Sketch-Based Image RetrievalCode1
COUGH: A Challenge Dataset and Models for COVID-19 FAQ RetrievalCode1
CoVR-2: Automatic Data Construction for Composed Video RetrievalCode1
COSA: Concatenated Sample Pretrained Vision-Language Foundation ModelCode1
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelCode1
Dense Hierarchical Retrieval for Open-Domain Question AnsweringCode1
CoSMo: Content-Style Modulation for Image Retrieval With Text FeedbackCode1
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature AggregationCode1
Building Russian Benchmark for Evaluation of Information Retrieval ModelsCode1
CCL: Continual Contrastive Learning for LiDAR Place RecognitionCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
DGL: Dynamic Global-Local Prompt Tuning for Text-Video RetrievalCode1
Correlation Verification for Image RetrievalCode1
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph AugmentationCode1
Dialog Inpainting: Turning Documents into DialogsCode1
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and ReportsCode1
Corpus-Steered Query Expansion with Large Language ModelsCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
A Comprehensive Assessment of Dialog Evaluation MetricsCode1
CoRT: Complementary Rankings from TransformersCode1
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
CORD-19: The COVID-19 Open Research DatasetCode1
Discovering Mathematical Objects of Interest -- A Study of Mathematical NotationsCode1
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical ResearchCode1
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question AnsweringCode1
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsCode1
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language TasksCode1
Data Curation Alone Can Stabilize In-context LearningCode1
Conversational Word Embedding for Retrieval-Based Dialog SystemCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal RetrievalCode1
Conversational Question Answering over Passages by Leveraging Word Proximity NetworksCode1
Show:102550
← PrevPage 44 of 286Next →

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