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 1601–1650 of 14297 papers

TitleStatusHype
Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue GenerationCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisCode1
An Adversarial Imitation Click Model for Information RetrievalCode1
Curriculum Learning for Dense Retrieval DistillationCode1
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
Automated Phrase Mining from Massive Text CorporaCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and DeformationCode1
K-QA: A Real-World Medical Q&A BenchmarkCode1
KSW: Khmer Stop Word based Dictionary for Keyword ExtractionCode1
KTRL+F: Knowledge-Augmented In-Document SearchCode1
Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and MiningCode1
Retrieval-Augmented Generation for Code Summarization via Hybrid GNNCode1
Cross-Modal Retrieval for Motion and Text via DopTriple LossCode1
Cross-Modal Retrieval with Partially Mismatched PairsCode1
Cross-Modal Retrieval: A Systematic Review of Methods and Future DirectionsCode1
Language Models are Universal EmbeddersCode1
Language Models Implement Simple Word2Vec-style Vector ArithmeticCode1
Language Models with Image Descriptors are Strong Few-Shot Video-Language LearnersCode1
A Data-Centric Framework for Composable NLP WorkflowsCode1
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge DistillationCode1
Cross-modal Retrieval for Knowledge-based Visual Question AnsweringCode1
Large Foundation Models for Power SystemsCode1
Cross Modal Retrieval with Querybank NormalisationCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image RetrievalCode1
Are Local Features All You Need for Cross-Domain Visual Place Recognition?Code1
Cross-modal Contrastive Learning for Speech TranslationCode1
Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-AttentionCode1
Large-Scale Product Retrieval with Weakly Supervised Representation LearningCode1
A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription SystemsCode1
LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
Automatic Generation of Topic LabelsCode1
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility StudyCode1
LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight DetectionCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image RetrievalCode1
Learning a Predictable and Generative Vector Representation for ObjectsCode1
Learning a Representation for Cover Song Identification Using Convolutional Neural NetworkCode1
Learning Attribute-Driven Disentangled Representations for Interactive Fashion RetrievalCode1
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature DescriptorsCode1
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
Bidirectional Attentive Memory Networks for Question Answering over Knowledge BasesCode1
Learning Cross-Modal Retrieval With Noisy LabelsCode1
Cross-Batch Memory for Embedding LearningCode1
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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