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 1126–1150 of 14297 papers

TitleStatusHype
Evidence Selection as a Token-Level Prediction TaskCode1
ExaRanker: Explanation-Augmented Neural RankerCode1
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person RetrievalCode1
CaLa: Complementary Association Learning for Augmenting Composed Image RetrievalCode1
Data Curation Alone Can Stabilize In-context LearningCode1
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive FinetuningCode1
Latent Retrieval for Weakly Supervised Open Domain Question AnsweringCode1
Can large language models reason about medical questions?Code1
Everything at Once -- Multi-modal Fusion Transformer for Video RetrievalCode1
ExaRanker-Open: Synthetic Explanation for IR using Open-Source LLMsCode1
Expectation-Maximization Contrastive Learning for Compact Video-and-Language RepresentationsCode1
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video RetrievalCode1
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval AlignmentCode1
Building Russian Benchmark for Evaluation of Information Retrieval ModelsCode1
Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and DataCode1
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP formatCode1
Evaluating Retrieval Quality in Retrieval-Augmented GenerationCode1
BTR: Binary Token Representations for Efficient Retrieval Augmented Language ModelsCode1
Align before Fuse: Vision and Language Representation Learning with Momentum DistillationCode1
Building A Coding Assistant via the Retrieval-Augmented Language ModelCode1
Align and Prompt: Video-and-Language Pre-training with Entity PromptsCode1
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingCode1
Building a Manga Dataset "Manga109" with Annotations for Multimedia ApplicationsCode1
CAD-Deform: Deformable Fitting of CAD Models to 3D ScansCode1
Evaluating the Robustness of Retrieval Pipelines with Query Variation GeneratorsCode1
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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