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 13701–13750 of 14297 papers

TitleStatusHype
Ranking via Sinkhorn Propagation—0
Open-Set Representation Learning through Combinatorial Embedding—0
Use of Affective Visual Information for Summarization of Human-Centric Videos—0
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank—0
RankLLM: A Python Package for Reranking with LLMs—0
RankMI: A Mutual Information Maximizing Ranking Loss—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction—0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
Range Retrieval with Graph-Based Indices—0
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models—0
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings—0
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter—0
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot—0
Rapid and Automated Alloy Design with Graph Neural Network-Powered LLM-Driven Multi-Agent Systems—0
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval—0
Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator—0
Random Walks in Self-supervised Learning for Triangular Meshes—0
User-Curated Image Collections: Modeling and Recommendation—0
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos—0
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents—0
Random VLAD based Deep Hashing for Efficient Image Retrieval—0
Scalable and Robust Community Detection with Randomized Sketching—0
Randomized kernels for large scale Earth observation applications—0
Randomized Kaczmarz Method for Single Particle X-ray Image Phase Retrieval—0
Rapid Probabilistic Interest Learning from Domain-Specific Pairwise Image Comparisons—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction—0
RAR: Setting Knowledge Tripwires for Retrieval Augmented Rejection—0
RASD: Retrieval-Augmented Speculative Decoding—0
Randomized Algorithms for Comparison-based Search—0
Random Forests Can Hash—0
Random Features Hopfield Networks generalize retrieval to previously unseen examples—0
Rating and aspect-based opinion graph embeddings for explainable recommendations—0
Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space—0
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAU—0
User Manual of Automatic Data Curation Tool(ADCT): A bulk data curator software in Library and Information Science—0
RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data—0
RANa: Retrieval-Augmented Navigation—0
RAM: Towards an Ever-Improving Memory System by Learning from Communications—0
RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting—0
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting—0
User Profiling Trends, Techniques and Applications—0
Zero-Shot Retrieval with Search Agents and Hybrid Environments—0
Open-set Face Recognition for Small Galleries Using Siamese Networks—0
RAVEN: Multitask Retrieval Augmented Vision-Language Learning—0
RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph—0
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads—0
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation—0
RBIR Based on Signature Graph—0
RBIR using Interest Regions and Binary Signatures—0
Using a Cross-Language Information Retrieval System based on OHSUMED to Evaluate the Moses and KantanMT Statistical Machine Translation Systems—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