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 7901–7950 of 14297 papers

TitleStatusHype
Blowfish: Topological and statistical signatures for quantifying ambiguity in semantic search—0
A Reproducibility Study of PLAID—0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
A Concept-Centered Hypertext Approach to Case-Based Retrieval—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild—0
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data—0
Location retrieval using visible landmarks based qualitative place signatures—0
Memory, Consciousness and Large Language Model—0
LocLinkVis: A Geographic Information Retrieval-Based System for Large-Scale Exploratory Search—0
Evaluating Information Retrieval Systems for Kids—0
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models—0
Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval—0
A Reproducibility Study of Graph-Based Legal Case Retrieval—0
Precision-Recall Curves Using Information Divergence Frontiers—0
Evaluating Generative Ad Hoc Information Retrieval—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities—0
Chord Recognition- Music and Audio Information Retrieval—0
Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture—0
Logical Metonymy in a Distributional Model of Sentence Comprehension—0
Aggregating Continuous Word Embeddings for Information Retrieval—0
Logic Haystacks: Probing LLMs Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)—0
Evaluating Embedding APIs for Information Retrieval—0
An NMF Perspective on Binary Hashing—0
A Reproducibility and Generalizability Study of Large Language Models for Query Generation—0
A Computational Model for Interactive Transcription—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models—0
Choppy: Cut Transformer For Ranked List Truncation—0
LoGS: Visual Localization via Gaussian Splatting with Fewer Training Images—0
Evaluating Dense Passage Retrieval using Transformers—0
Long Concept Query on Conceptual Taxonomies—0
Evaluating Contrastive Models for Instance-based Image Retrieval—0
Mechanics of Next Token Prediction with Self-Attention—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation—0
Aggregating Binary Local Descriptors for Image Retrieval—0
Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers—0
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches—0
Measuring Sentences Similarity: A Survey—0
Long-Horizon Planning and Execution with Functional Object-Oriented Networks—0
ChipNeMo: Domain-Adapted LLMs for Chip Design—0
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs—0
Boolean-aware Attention for Dense Retrieval—0
Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA—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