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

Showing 99019925 of 14297 papers

TitleStatusHype
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features0
LISN @ WMT 20210
Literature Review of the Pioneering Approaches in Cloud-based Search Engines Powered by LETOR Techniques0
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling0
Live Iterative Ptychography with projection-based algorithms0
Live Laparoscopic Video Retrieval with Compressed Uncertainty0
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval0
Living Lab Evaluation for Life and Social Sciences Search Platforms -- LiLAS at CLEF 20210
Living Labs - An Ethical Challenge for Researchers and Platform Providers0
Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning0
LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design0
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models0
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning0
LLM Agents Improve Semantic Code Search0
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective0
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators0
LLM-Assisted Proactive Threat Intelligence for Automated Reasoning0
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding0
LLM-Based Compact Reranking with Document Features for Scientific Retrieval0
LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification0
LLM-based Extraction of Contradictions from Patents0
LLM-Independent Adaptive RAG: Let the Question Speak for Itself0
LLM-Oriented Retrieval Tuner0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified