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 3051–3075 of 14297 papers

TitleStatusHype
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering—0
MINERS: Multilingual Language Models as Semantic RetrieversCode1
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph—0
Benchmarking Vision-Language Contrastive Methods for Medical Representation LearningCode0
Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources—0
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges—0
Which Country Is This? Automatic Country Ranking of Street View PhotosCode0
Text Information Retrieval in Tetun: A Preliminary Study—0
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingCode4
Needle In A Multimodal HaystackCode2
Scholarly Question Answering using Large Language Models in the NFDI4DataScience GatewayCode0
Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval—0
TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs—0
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs—0
AutoSurvey: Large Language Models Can Automatically Write SurveysCode3
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Weighted KL-Divergence for Document Ranking Model Refinement—0
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance AssessorCode2
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
Evaluating the Retrieval Component in LLM-Based Question Answering Systems—0
2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval—0
Enhancing Long-Term Memory using Hierarchical Aggregate Tree for Retrieval Augmented Generation—0
Recurrent Context Compression: Efficiently Expanding the Context Window of LLMCode2
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?Code0
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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