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 35013550 of 14297 papers

TitleStatusHype
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching0
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval0
Fuse after Align: Improving Face-Voice Association Learning via Multimodal Encoder0
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight DetectionCode1
Competitive Retrieval: Going Beyond the Single Query0
Learning with Noisy Correspondence0
Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision0
Multilingual Evaluation of Semantic Textual Relatedness0
Introducing Super RAGs in Mistral 8x7B-v10
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights0
Generalized Contrastive Learning for Multi-Modal Retrieval and RankingCode2
Accessibility in Information Retrieval0
Reducing hallucination in structured outputs via Retrieval-Augmented Generation0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Lightweight Multi-System Multivariate Interconnection and Divergence DiscoveryCode0
Connecting NeRFs, Images, and TextCode0
Do You Remember? Dense Video Captioning with Cross-Modal Memory RetrievalCode2
Generative Information Retrieval Evaluation0
Extending Translate-Train for ColBERT-X to African Language CLIR0
Overview of the TREC 2023 NeuCLIR Track0
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models0
LLMs in Biomedicine: A study on clinical Named Entity RecognitionCode0
Net 835-Gb/s/λ Carrier- and LO-Free 100-km Transmission Using Channel-Aware Phase Retrieval Reception0
Semantically-correlated memories in a dense associative modelCode1
Not All Contexts Are Equal: Teaching LLMs Credibility-aware GenerationCode1
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability0
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology0
Superposition Prompting: Improving and Accelerating Retrieval-Augmented GenerationCode2
Knowledge graphs for empirical concept retrievalCode0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study0
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionCode4
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native SpeakersCode0
Optimization Methods for Personalizing Large Language Models through Retrieval AugmentationCode2
RAR-b: Reasoning as Retrieval BenchmarkCode1
Event-enhanced Retrieval in Real-time SearchCode0
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image ReconstructionCode0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models0
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding0
Retrieval-Augmented Open-Vocabulary Object DetectionCode1
Information Retrieval with Entity Linking0
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageCode0
Single-Server Pliable Private Information Retrieval with Identifiable Side Information0
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models0
Weakly Supervised Deep Hyperspherical Quantization for Image RetrievalCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical TrialsCode0
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningCode0
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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