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 2801–2850 of 14297 papers

TitleStatusHype
CaseGPT: a case reasoning framework based on language models and retrieval-augmented generation—0
A Survey of Controllable Learning: Methods and Applications in Information Retrieval—0
BM25S: Orders of magnitude faster lexical search via eager sparse scoringCode5
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language ModelsCode0
An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw CycleCode0
DSLR: Document Refinement with Sentence-Level Re-ranking and Reconstruction to Enhance Retrieval-Augmented Generation—0
Meta-prompting Optimized Retrieval-augmented Generation—0
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval—0
Mixture of A Million ExpertsCode2
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual FeaturesCode0
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph CompletionCode1
CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsCode2
A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation—0
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning—0
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I—0
Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal ModelsCode0
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval—0
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval AlignmentCode1
Synthetic Multimodal Question Generation—0
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text GenerationCode2
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
Exploring Advanced Large Language Models with LLMsuite—0
PQCache: Product Quantization-based KVCache for Long Context LLM Inference—0
Deterministic fast and stable phase retrieval in multiple dimensions—0
Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese—0
BERGEN: A Benchmarking Library for Retrieval-Augmented GenerationCode3
Evaluation of Temporal Change in IR Test CollectionsCode0
Preserving Multilingual Quality While Tuning Query Encoder on English Only—0
First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1—0
SignCLIP: Connecting Text and Sign Language by Contrastive LearningCode1
Deep Domain Specialisation for single-model multi-domain learning to rank—0
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented GenerationCode0
Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components—0
Hybrid RAG-empowered Multi-modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-based Contract Approach—0
Searching for Best Practices in Retrieval-Augmented GenerationCode3
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions—0
Optimization of Retrieval-Augmented Generation Context with Outlier Detection—0
Eliminating Position Bias of Language Models: A Mechanistic ApproachCode1
Semantic Compositions Enhance Vision-Language Contrastive Learning—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval—0
Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval—0
Retrieval-augmented generation in multilingual settingsCode3
Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingCode2
HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and ExplainabilityCode0
Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening PrioritisationCode0
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesCode1
Potential Renovation of Information Search Process with the Power of Large Language Model for Healthcare—0
A Study on Effect of Reference Knowledge Choice in Generating Technical Content Relevant to SAPPhIRE Model Using Large Language Model—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