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 2851–2900 of 14297 papers

TitleStatusHype
Adversarial attacks against Fact Extraction and VERification—0
Deep Iterative Phase Retrieval for Ptychography—0
DeepJoin: Joinable Table Discovery with Pre-trained Language Models—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
Boosted Dense Retriever—0
Annotation of Computer Science Papers for Semantic Relation Extrac-tion—0
Boosted Dense Retriever—0
BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?—0
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling—0
Adversarial Attack on Deep Product Quantization Network for Image Retrieval—0
Boolean-aware Attention for Dense Retrieval—0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
Book Review: Graph-Based Natural Language Processing and Information Retrieval by Rada Mihalcea and Dragomir Radev—0
BookQA: Stories of Challenges and Opportunities—0
Annotation Cost Efficient Active Learning for Content Based Image Retrieval—0
Adversarial Attack on Deep Cross-Modal Hamming Retrieval—0
Deep Joint Source-Channel Coding for Wireless Image Retrieval—0
Deep-learning-based classification and retrieval of components of a process plant from segmented point clouds—0
Deep Learning for IoT—0
Book QA: Stories of Challenges and Opportunities—0
Advancing Vietnamese Information Retrieval with Learning Objective and Benchmark—0
An NMF Perspective on Binary Hashing—0
A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation—0
An Issue-oriented Syllabus Retrieval System using Terminology-based Syllabus Structuring and Visualization—0
BM25 Query Augmentation Learned End-to-End—0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
Deep Image Set Hashing—0
Blowfish: Topological and statistical signatures for quantifying ambiguity in semantic search—0
Block-Sparse Recovery Network for Two-Dimensional Harmonic Retrieval—0
An Invitation to Hypercomplex Phase Retrieval: Theory and Applications—0
Blind Interference Alignment for Private Information Retrieval—0
An Investigative Study of Multi-Modal Cross-Lingual Retrieval—0
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections—0
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering—0
An Intrinsic Framework of Information Retrieval Evaluation Measures—0
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes—0
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning—0
Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization—0
3218IR at SemEval-2020 Task 11: Conv1D and Word Embedding in Propaganda Span Identification at News Articles—0
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives—0
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions—0
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models—0
An interactive engine for multilingual video browsing using semantic content—0
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method—0
An Intent Taxonomy of Legal Case Retrieval—0
Advancing Question Answering on Handwritten Documents: A State-of-the-Art Recognition-Based Model for HW-SQuAD—0
DeepHuMS: Deep Human Motion Signature for 3D Skeletal Sequences—0
Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification—0
An Intelligent Recommendation-cum-Reminder System—0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
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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