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 5901–5950 of 14297 papers

TitleStatusHype
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton—0
Enhancing Retrieval Processes for Language Generation with Augmented Queries—0
Building Retrieval Systems for the ClueWeb22-B Corpus—0
Domain Adaptation of Multilingual Semantic Search - Literature Review—0
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented GenerationCode0
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification—0
Financial Report Chunking for Effective Retrieval Augmented GenerationCode0
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding—0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations—0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation—0
Video Editing for Video Retrieval—0
Zero-shot sketch-based remote sensing image retrieval based on multi-level and attention-guided tokenizationCode0
Locally-Adaptive Quantization for Streaming Vector Search—0
Déjà Vu Memorization in Vision-Language Models—0
The Queen of England is not England's Queen: On the Lack of Factual Coherency in PLMsCode0
CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks—0
Continual Learning for Large Language Models: A Survey—0
CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish—0
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation—0
Retrieval Augmented End-to-End Spoken Dialog Models—0
PICS: Pipeline for Image Captioning and Search—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA—0
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
RAG-Fusion: a New Take on Retrieval-Augmented Generation—0
Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels—0
NNOSE: Nearest Neighbor Occupational Skill ExtractionCode0
Retrieval Augmented Deep Anomaly Detection for Tabular DataCode0
Re3val: Reinforced and Reranked Generative Retrieval—0
Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report—0
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property RetrievalCode0
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—0
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning—0
Textual Entailment for Effective Triple Validation in Object PredictionCode0
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersCode0
PILOT: Legal Case Outcome Prediction with Case Law—0
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text—0
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training—0
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately—0
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings—0
Recency Ranking by Diversification of Result Set—0
Accelerating Retrieval-Augmented Language Model Serving with Speculation—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