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 5701–5750 of 14297 papers

TitleStatusHype
CBR - Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution—0
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningCode0
Vector search with small radiuses—0
Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval—0
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable QuestionsCode0
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?Code0
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval—0
Repoformer: Selective Retrieval for Repository-Level Code Completion—0
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting—0
Improving Medical Multi-modal Contrastive Learning with Expert AnnotationsCode0
Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score—0
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors—0
Logical Discrete Graphical Models Must Supplement Large Language Models for Information Synthesis—0
What Sketch Explainability Really Means for Downstream Tasks—0
Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector—0
Online and Offline Evaluation in Search Clarification—0
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling—0
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics—0
Foundation Models and Information Retrieval in Digital Pathology—0
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification—0
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers—0
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance ModelsCode0
You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval—0
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning—0
Mechanics of Next Token Prediction with Self-Attention—0
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?—0
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation—0
ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval—0
Texture image retrieval using a classification and contourlet-based features—0
CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval—0
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines—0
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval—0
PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design—0
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting—0
Exploring LLM-based Agents for Root Cause Analysis—0
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM—0
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?—0
UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed EntitiesCode0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
Unsupervised Multilingual Dense Retrieval via Generative Pseudo LabelingCode0
FaaF: Facts as a Function for the evaluation of generated textCode0
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer ModelCode0
Reliable, Adaptable, and Attributable Language Models with Retrieval—0
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal DatasetsCode0
ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary—0
From Zero to Hero: How local curvature at artless initial conditions leads away from bad minima—0
LLM-Oriented Retrieval Tuner—0
DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs—0
SyllabusQA: A Course Logistics Question Answering DatasetCode0
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval—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