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 11151–11200 of 14297 papers

TitleStatusHype
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach—0
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search—0
From Single Image Query to Detailed 3D Reconstruction—0
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression—0
From Visual Attributes to Adjectives through Decompositional Distributional Semantics—0
From Zero to Hero: How local curvature at artless initial conditions leads away from bad minima—0
Frugal neural reranking: evaluation on the Covid-19 literature—0
Frustratingly Hard Evidence Retrieval for QA Over Books—0
Full-attention based Neural Architecture Search using Context Auto-regression—0
Full-Network Embedding in a Multimodal Embedding Pipeline—0
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems—0
Fundamental Exploration of Evaluation Metrics for Persona Characteristics of Text Utterances—0
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval—0
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG—0
Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset—0
Further results on dissimilarity spaces for hyperspectral images RF-CBIR—0
Further Theoretical Study of Distribution Separation Method for Information Retrieval—0
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models—0
Fuse after Align: Improving Face-Voice Association Learning via Multimodal Encoder—0
Fuse and Attend: Generalized Embedding Learning for Art and Sketches—0
Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval—0
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects—0
FusionSegReID: Advancing Person Re-Identification with Multimodal Retrieval and Precise Segmentation—0
Fusion-supervised Deep Cross-modal Hashing—0
Fusion vectors: Embedding Graph Fusions for Efficient Unsupervised Rank Aggregation—0
Future of Information Retrieval Research in the Age of Generative AI—0
Fuzzy quantification for linguistic data analysis and data mining—0
Fuzzy Substring Matching: On-device Fuzzy Friend Search at Snapchat—0
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering—0
G2DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification—0
Gabor Barcodes for Medical Image Retrieval—0
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks—0
GAIA: A General AI Assistant for Intelligent Accelerator Operations—0
Digital Pre-Distorted One-Step Phase Retrieval Algorithm for Real-Time Hologram Generation for Holographic Displays—0
GAN-based Recommendation with Positive-Unlabeled Sampling—0
Garbage Segmentation and Attribute Analysis by Robotic Dogs—0
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA—0
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval—0
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections—0
Garment Attribute Manipulation with Multi-level Attention—0
GarmentPile: Point-Level Visual Affordance Guided Retrieval and Adaptation for Cluttered Garments Manipulation—0
GASC: Genre-Aware Semantic Change for Ancient Greek—0
GATED FAST WEIGHTS FOR ASSOCIATIVE RETRIEVAL—0
GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval—0
G-Bean: an ontology-graph based web tool for biomedical literature retrieval—0
GeAR: Generation Augmented Retrieval—0
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation—0
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews—0
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs—0
Gecko: Versatile Text Embeddings Distilled from Large Language Models—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