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 9901–9950 of 14297 papers

TitleStatusHype
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
LISN @ WMT 2021—0
Literature Review of the Pioneering Approaches in Cloud-based Search Engines Powered by LETOR Techniques—0
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
Live Iterative Ptychography with projection-based algorithms—0
Live Laparoscopic Video Retrieval with Compressed Uncertainty—0
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval—0
Living Lab Evaluation for Life and Social Sciences Search Platforms -- LiLAS at CLEF 2021—0
Living Labs - An Ethical Challenge for Researchers and Platform Providers—0
Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model—0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning—0
LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design—0
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models—0
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning—0
LLM Agents Improve Semantic Code Search—0
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective—0
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators—0
LLM-Assisted Proactive Threat Intelligence for Automated Reasoning—0
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding—0
LLM-Based Compact Reranking with Document Features for Scientific Retrieval—0
LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification—0
LLM-based Extraction of Contradictions from Patents—0
LLM-Independent Adaptive RAG: Let the Question Speak for Itself—0
LLM-Oriented Retrieval Tuner—0
LLM Program Optimization via Retrieval Augmented Search—0
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models—0
LLMs Can Patch Up Missing Relevance Judgments in Evaluation—0
LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research—0
LitLLMs, LLMs for Literature Review: Are we there yet?—0
LLMs in HCI Data Work: Bridging the Gap Between Information Retrieval and Responsible Research Practices—0
LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback—0
LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs—0
Local Area Transform for Cross-Modality Correspondence Matching and Deep Scene Recognition—0
Local Binary Pattern for Word Spotting in Handwritten Historical Document—0
Local Color Contrastive Descriptor for Image Classification—0
Local Convolutional Features With Unsupervised Training for Image Retrieval—0
Local Descriptors Optimized for Average Precision—0
Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval—0
Local Feature Detectors, Descriptors, and Image Representations: A Survey—0
Local Gradient Hexa Pattern: A Descriptor for Face Recognition and Retrieval—0
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge—0
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary—0
Locality Preserving Markovian Transition for Instance Retrieval—0
Locality Sensitive Hashing for Efficient Similar Polygon Retrieval—0
Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach—0
Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach—0
Localizing and Orienting Street Views Using Overhead Imagery—0
Locally-Adaptive Quantization for Streaming Vector Search—0
Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval—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