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 6401–6450 of 14297 papers

TitleStatusHype
Cross-Modal Search and Exploration of Greek Painted Pottery—0
Improving Grapheme-to-Phoneme Conversion through In-Context Knowledge Retrieval with Large Language Models—0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration—0
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model—0
Improving Few-shot and Zero-shot Entity Linking with Coarse-to-Fine Lexicon-based Retriever—0
Cross-Modal Scene Networks—0
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering—0
Improving Factuality with Explicit Working Memory—0
Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation—0
Improving Evidence Retrieval with Claim-Evidence Entailment—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Improving Entity Retrieval on Structured Data—0
Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores—0
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering—0
Improving Embedding-based Large-scale Retrieval via Label Enhancement—0
Improving information retrieval through correspondence analysis instead of latent semantic analysis—0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues—0
Improving Embedding Accuracy for Document Retrieval Using Entity Relationship Maps and Model-Aware Contrastive Sampling—0
Improving Language Models via Plug-and-Play Retrieval Feedback—0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—0
Improving Legal Case Retrieval with Brain Signals—0
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities—0
Cross-modal Retrieval with Improved Graph Convolution—0
Automated Code Generation and Validation for Software Components of Microcontrollers—0
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection—0
An Active Learning Based Approach For Effective Video Annotation And Retrieval—0
Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model—0
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate—0
Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao—0
Cross-Modal Retrieval with Implicit Concept Association—0
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining—0
Improving Domain-Specific Retrieval by NLI Fine-Tuning—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval—0
Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval—0
Automated Camera Calibration via Homography Estimation with GNNs—0
Improving Deep Binary Embedding Networks by Order-aware Reweighting of Triplets—0
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Automated Answer Validation using Text Similarity—0
Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness—0
Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms—0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation—0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
Improving Content Retrievability in Search with Controllable Query Generation—0
Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning—0
Auto-labelling of Bug Report using Natural Language Processing—0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances—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