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 83518400 of 14297 papers

TitleStatusHype
Controllable Semantic Parsing via Retrieval AugmentationCode0
Multimodal Dialogue Response Generation0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling0
Video-Data Pipelines for Machine Learning ApplicationsCode0
Cascaded Fast and Slow Models for Efficient Semantic Code Search0
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer0
DS-TOD: Efficient Domain Specialization for Task Oriented DialogCode0
DialFact: A Benchmark for Fact-Checking in DialogueCode1
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape RepresentationCode1
Few-Shot Bot: Prompt-Based Learning for Dialogue SystemsCode1
Tagged Documents Co-Clustering0
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations0
Spoken ObjectNet: A Bias-Controlled Spoken Caption DatasetCode0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation0
Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models0
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval0
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking0
Coarse to Fine: Video Retrieval before Moment Localization0
Exposing Query Identification for Search Transparency0
Retrieval-guided Counterfactual Generation for QA0
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase ExtractionCode1
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?Code1
Improving Users' Mental Model with Attention-directed Counterfactual Edits0
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts0
Color Counting for Fashion, Art, and Design0
Exploring Dense Retrieval for Dialogue Response SelectionCode1
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense RetrievalCode1
Optimizing Ranking Systems Online as Bandits0
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
Efficient Neural Ranking using Forward IndexesCode1
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning0
PanopTOP: a framework for generating viewpoint-invariant human pose estimation datasetsCode0
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation0
Automatic Recall of Software Lessons Learned for Software Project Managers0
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
Digging Into Self-Supervised Learning of Feature Descriptors0
Fast and Robust Structural Damage Analysis of Civil Infrastructure Using UAV Imagery0
Are Words the Quanta of Human Language? Extending the Domain of Quantum Cognition0
Google Landmark Retrieval 2021 Competition Third Place Solution0
Two-stage Visual Cues Enhancement Network for Referring Image SegmentationCode0
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval0
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-TrainingCode0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering0
2nd Place Solution to Google Landmark Retrieval 2021Code1
Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysisCode0
CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning0
Adversarial Retriever-Ranker for dense text retrieval0
GeSERA: General-domain Summary Evaluation by Relevance Analysis0
Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-TransformersCode1
Reversible Attack based on Local Visual Adversarial Perturbation0
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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