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 8201–8250 of 14297 papers

TitleStatusHype
Multi-Stage Prompting for Knowledgeable Dialogue Generation—0
Negative-aware Entity Set Expansion—0
RE: A Study for Restorable Embeddings—0
Retrieval-based Layer-wise Adaptive Transformer for Source Code Summarization—0
Image Retrieval from Contextual Descriptions—0
Augmenting Memory Networks for Rich and Efficient Retrieval in Grounded DialogueCode0
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data—0
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations—0
TABi: Type-Aware Bi-encoders for End-to-End Entity Retrieval—0
Compressing Sentence Representation via Homomorphic Projective Distillation—0
Combining static and contextualised multilingual embeddings—0
Slot Filling for Biomedical Information Extraction—0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval—0
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named EntitiesCode0
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue—0
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances—0
There’s a Time and Place for Reasoning Beyond the Image—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection—0
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?—0
Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval—0
LiT: Zero-Shot Transfer with Locked-image text TuningCode1
Full-attention based Neural Architecture Search using Context Auto-regression—0
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets—0
Fine-Grained Image Analysis with Deep Learning: A Survey—0
Leveraging Geometry for Shape Estimation from a Single RGB ImageCode0
Design Theory to improve health evidence retrieval—0
Cross-language Information Retrieval—0
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval—0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal SynchronicityCode1
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue—0
PREMA: Part-based REcurrent Multi-view Aggregation Network for 3D Shape Retrieval—0
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods—0
Cascaded Multilingual Audio-Visual Learning from VideosCode1
Assessing learned features of Deep Learning applied to EEG—0
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine—0
Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems—0
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text RetrievalCode0
The Curious Layperson: Fine-Grained Image Recognition without Expert LabelsCode1
Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions—0
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval—0
Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval—0
Computing with Cognitive States—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-ExpertsCode1
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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