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 226–250 of 14297 papers

TitleStatusHype
Global Features are All You Need for Image Retrieval and RerankingCode2
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical QuestionsCode2
Interactive Continual Learning: Fast and Slow ThinkingCode2
Generating Images with Multimodal Language ModelsCode2
All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed AudioCode2
Generating Benchmarks for Factuality Evaluation of Language ModelsCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
Generalized Contrastive Learning for Multi-Modal Retrieval and RankingCode2
GENIUS: A Generative Framework for Universal Multimodal SearchCode2
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
VeCLIP: Improving CLIP Training via Visual-enriched CaptionsCode2
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationCode2
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Flow-Guided Transformer for Video InpaintingCode2
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity SearchCode2
AIR-Bench: Automated Heterogeneous Information Retrieval BenchmarkCode2
Fine-grained Image Captioning with CLIP RewardCode2
Search and Refine During Think: Autonomous Retrieval-Augmented Reasoning of LLMsCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
In-Context Retrieval-Augmented Language ModelsCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
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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