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 44014450 of 14297 papers

TitleStatusHype
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-TrainingCode0
Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM JudgesCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERTCode0
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge DescriptionCode0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
Aggregating Deep Convolutional Features for Image RetrievalCode0
Chunk-based Nearest Neighbor Machine TranslationCode0
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical TrialsCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Improving Segmentation for Technical Support ProblemsCode0
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten DocumentsCode0
I can listen but cannot read: An evaluation of two-tower multimodal systems for instrument recognitionCode0
ICECAP: Information Concentrated Entity-aware Image CaptioningCode0
ChoralSynth: Synthetic Dataset of Choral SingingCode0
iART: A Search Engine for Art-Historical Images to Support Research in the HumanitiesCode0
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten FragmentsCode0
HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place RecognitionCode0
ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval ModelsCode0
Error-Robust Retrieval for Chinese Spelling CheckCode0
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
3D Shape Sequence of Human Comparison and Classification using Current and VarifoldsCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Long-context Language Models Cannot Retrieve Without Sufficient StepsCode0
IDEAL: Independent Domain Embedding Augmentation LearningCode0
CHEF: Cross-modal Hierarchical Embeddings for Food Domain RetrievalCode0
Hybrid Style Siamese Network: Incorporating style loss in complementary apparels retrievalCode0
Hybrid Losses for Hierarchical Embedding LearningCode0
Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic FeaturesCode0
A Geometric Analysis of Phase RetrievalCode0
HybridCite: A Hybrid Model for Context-Aware Citation RecommendationCode0
Human Preferences as Dueling BanditsCode0
Are Large Language Models Good at Utility Judgments?Code0
HUSE: Hierarchical Universal Semantic EmbeddingsCode0
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine ReadingCode0
A Regularized Conditional GAN for Posterior Sampling in Image Recovery ProblemsCode0
Human Motion Analysis with Deep Metric LearningCode0
Hybrid and Collaborative Passage RerankingCode0
Human-in-the-loop Machine Translation with Large Language ModelCode0
Hubness Reduction Improves Sentence-BERT Semantic SpacesCode0
Hubless Nearest Neighbor Search for Bilingual Lexicon InductionCode0
Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor DatabasesCode0
ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image RetrievalCode0
HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and ExplainabilityCode0
How to Leverage Personal Textual Knowledge for Personalized Conversational Information RetrievalCode0
How Train-Test Leakage Affects Zero-shot RetrievalCode0
ChatGPT for GTFS: Benchmarking LLMs on GTFS Understanding and RetrievalCode0
Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video RetrievalCode0
A Reality Check on Context Utilisation for Retrieval-Augmented GenerationCode0
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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