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 1876–1900 of 14297 papers

TitleStatusHype
CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval—0
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG SystemsCode3
PersianRAG: A Retrieval-Augmented Generation System for Persian Language—0
WASHtsApp -- A RAG-powered WhatsApp Chatbot for supporting rural African clean water access, sanitation and hygiene—0
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval—0
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for NetworkCode1
INQUIRE: A Natural World Text-to-Image Retrieval BenchmarkCode2
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs—0
Extracting Unlearned Information from LLMs with Activation Steering—0
PIAST: A Multimodal Piano Dataset with Audio, Symbolic and TextCode1
SPECTRUM: Semantic Processing and Emotion-informed video-Captioning Through Retrieval and Understanding Modalities—0
RAGViz: Diagnose and Visualize Retrieval-Augmented GenerationCode2
Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages—0
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors—0
Efficient Medical Image Retrieval Using DenseNet and FAISS for BIRADS Classification—0
Entropic Hetero-Associative MemoryCode0
Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage—0
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding—0
InFact: A Strong Baseline for Automated Fact-Checking—0
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
Optimizing Contextual Speech Recognition Using Vector Quantization for Efficient Retrieval—0
Rationale-Guided Retrieval Augmented Generation for Medical Question AnsweringCode1
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions—0
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models—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