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 5951–6000 of 14297 papers

TitleStatusHype
FastFill: Efficient Compatible Model UpdateCode1
Cross-modal Retrieval with Improved Graph Convolution—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Sketch-based Medical Image RetrievalCode0
OpenICL: An Open-Source Framework for In-context LearningCode2
xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalCode1
IPA-CLIP: Integrating Phonetic Priors into Vision and Language Pretraining—0
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation—0
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image RetrievalCode0
Implementation of a noisy hyperlink removal system: A semantic and relatedness approach—0
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion TasksCode1
Discovery and Recognition of Formula Concepts using Machine LearningCode0
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly—0
Learning Permutation-Invariant Embeddings for Description Logic ConceptsCode0
QAID: Question Answering Inspired Few-shot Intent Detection—0
WiCE: Real-World Entailment for Claims in WikipediaCode1
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairsCode1
Evaluation of drain, a deep-learning approach to rain retrieval from gpm passive microwave radiometer—0
Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-RankerCode0
CoProver: A Recommender System for Proof Construction—0
UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of RerankersCode2
Almanac: Retrieval-Augmented Language Models for Clinical Medicine—0
Uzbek text summarization based on TF-IDF—0
The style transformer with common knowledge optimization for image-text retrieval—0
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-trainingCode1
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training—0
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View ImagesCode2
Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation—0
Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms—0
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging FaceCode1
OEKG: The Open Event Knowledge Graph—0
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models—0
Pretraining De-Biased Language Model with Large-scale Click Logs for Document RankingCode1
Diversity matters: Robustness of bias measurements in WikidataCode0
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation—0
Training neural networks with structured noise improves classification and generalization—0
Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval—0
From Audio to Symbolic Encoding—0
Learning cross space mapping via DNN using large scale click-through logs—0
MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models—0
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data—0
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification—0
Human-in-the-Loop Schema Induction—0
LaSER: Language-Specific Event RecommendationCode0
Deep Learning for Video-Text Retrieval: a Review—0
Retrieved Sequence Augmentation for Protein Representation LearningCode1
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsCode1
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022—0
Data leakage in cross-modal retrieval training: A case study—0
Simple and Scalable Nearest Neighbor Machine TranslationCode1
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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