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 801–825 of 14297 papers

TitleStatusHype
DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval ModelCode1
An Adversarial Imitation Click Model for Information RetrievalCode1
Bridge Correlational Neural Networks for Multilingual Multimodal Representation LearningCode1
Broken Neural Scaling LawsCode1
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network DataCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based QueriesCode1
Building a Manga Dataset "Manga109" with Annotations for Multimedia ApplicationsCode1
Analogous to Evolutionary Algorithm: Designing a Unified Sequence ModelCode1
Building Russian Benchmark for Evaluation of Information Retrieval ModelsCode1
A Data-Centric Framework for Composable NLP WorkflowsCode1
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video RetrievalCode1
Analysing The Impact of Sequence Composition on Language Model Pre-TrainingCode1
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP formatCode1
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query GenerationCode1
A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription SystemsCode1
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person RetrievalCode1
Adaptive Re-Ranking with a Corpus GraphCode1
Can large language models reason about medical questions?Code1
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response SelectionCode1
ECLIPSE: Efficient Long-range Video Retrieval using Sight and SoundCode1
Do Vision and Language Encoders Represent the World Similarly?Code1
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual ScreeningCode1
Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQLCode1
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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