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 11801–11850 of 14297 papers

TitleStatusHype
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation—0
Improving Topic Coherence with Regularized Topic Models—0
Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations—0
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence—0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Improving Video Retrieval by Adaptive Margin—0
MuMUR : Multilingual Multimodal Universal Retrieval—0
Improving Vietnamese Legal Document Retrieval using Synthetic Data—0
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment—0
Improving Zero-Shot Entity Retrieval through Effective Dense Representations—0
Improving Zero-shot LLM Re-Ranker with Risk Minimization—0
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues—0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification—0
Incomplete In-context Learning—0
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval—0
In-Context Exemplars as Clues to Retrieving from Large Associative Memory—0
In-Context Learning for Text Classification with Many Labels—0
"In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval"—0
In-Context Learning with Long-Context Models: An In-Depth Exploration—0
In-context Learning with Retrieved Demonstrations for Language Models: A Survey—0
In-Context Prompt Editing For Conditional Audio Generation—0
Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models—0
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking—0
Incorporating Intra-Class Variance to Fine-Grained Visual Recognition—0
Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval ModelCode0
Cross-lingual Retrieval for Iterative Self-Supervised TrainingCode0
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing EnvironmentsCode0
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event SequencesCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case StudyCode0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Every Moment Counts: Dense Detailed Labeling of Actions in Complex VideosCode0
A Multilingual Parallel Corpora Collection Effort for Indian LanguagesCode0
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and RectificationCode0
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature EngineeringCode0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
Event-enhanced Retrieval in Real-time SearchCode0
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and RetrievalCode0
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval ServiceCode0
Boot and Switch: Alternating Distillation for Zero-Shot Dense RetrievalCode0
Improving Screening Processes via Calibrated Subset SelectionCode0
Improving Segmentation for Technical Support ProblemsCode0
Improving Similar Case Retrieval Ranking Performance By Revisiting RankSVMCode0
MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre ClassificationCode0
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched DataCode0
Learning to Ask: Question-based Sequential Bayesian Product SearchCode0
Boosting Visual-Language Models by Exploiting Hard SamplesCode0
Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured ConstraintsCode0
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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