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 3601–3625 of 14297 papers

TitleStatusHype
Towards a Robust Retrieval-Based Summarization SystemCode0
Shallow Cross-Encoders for Low-Latency RetrievalCode0
Gecko: Versatile Text Embeddings Distilled from Large Language Models—0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
The Future of Combating Rumors? Retrieval, Discrimination, and Generation—0
Generating Multi-Aspect Queries for Conversational Search—0
Siamese Vision Transformers are Scalable Audio-visual LearnersCode1
Are Large Language Models Good at Utility Judgments?Code0
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
MagicLens: Self-Supervised Image Retrieval with Open-Ended InstructionsCode3
PointCloud-Text Matching: Benchmark Datasets and a Baseline—0
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented GenerationCode1
CPR: Retrieval Augmented Generation for Copyright Protection—0
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
Improving Attributed Text Generation of Large Language Models via Preference Learning—0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language—0
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability—0
Scaling Laws For Dense RetrievalCode0
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval—0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment—0
LLMs in HCI Data Work: Bridging the Gap Between Information Retrieval and Responsible Research Practices—0
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos—0
Online Embedding Multi-Scale CLIP Features into 3D Maps—0
AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation—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