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 8051–8075 of 14297 papers

TitleStatusHype
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval—0
Hard Example Guided Hashing for Image Retrieval—0
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning—0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals—0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval—0
A Transformer-Based Visual Piano Transcription Algorithm—0
Handwritten Amharic Character Recognition System Using Convolutional Neural Networks—0
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Handwriting Recognition in Low-resource Scripts using Adversarial Learning—0
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation—0
Conversational Search for Learning Technologies—0
A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation—0
A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models—0
Hamming Sentence Embeddings for Information Retrieval—0
Hamming Distance Metric Learning—0
Conversational Search -- A Report from Dagstuhl Seminar 19461—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
A Transformer-based Embedding Model for Personalized Product Search—0
Making Information Seeking Easier: An Improved Pipeline for Conversational Search—0
Making Large Language Models A Better Foundation For Dense Retrieval—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning—0
Hakim: Farsi Text Embedding Model—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