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 12151–12200 of 14297 papers

TitleStatusHype
Fast Randomized PCA for Sparse DataCode0
A Little Bit Is Worse Than None: Ranking with Limited Training DataCode0
IntellBot: Retrieval Augmented LLM Chatbot for Cyber Threat Knowledge DeliveryCode0
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-SupervisionCode0
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan CommentaryCode0
ArcAid: Analysis of Archaeological Artifacts using DrawingsCode0
Fast Spectral Ranking for Similarity SearchCode0
Fast Supervised Discrete Hashing and its AnalysisCode0
Fast Supervised Hashing with Decision Trees for High-Dimensional DataCode0
Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio PairsCode0
MedImageInsight: An Open-Source Embedding Model for General Domain Medical ImagingCode0
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMCode0
MedMobile: A mobile-sized language model with expert-level clinical capabilitiesCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLMCode0
CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationCode0
A Question-Entailment Approach to Question AnsweringCode0
MULAN: A Blind and Off-Grid Method for Multichannel Echo RetrievalCode0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Beyond Relevance: Evaluate and Improve Retrievers on Perspective AwarenessCode0
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc RetrievalCode0
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal RetrievalCode0
Beyond Questions: Leveraging ColBERT for Keyphrase SearchCode0
Cooperative Retriever and Ranker in Deep RecommendersCode0
Length is a Curse and a Blessing for Document-level SemanticsCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based ChatbotsCode0
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
Beyond Product Quantization: Deep Progressive Quantization for Image RetrievalCode0
Feature Learning based Deep Supervised Hashing with Pairwise LabelsCode0
Feature Mixing for Writer Retrieval and Identification on Papyri FragmentsCode0
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)Code0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
End-to-End Open Vocabulary Keyword SearchCode0
End-to-End Open-Domain Question Answering with BERTseriniCode0
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response GenerationCode0
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language RepresentationCode0
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak SupervisionCode0
Co-occurrence of deep convolutional features for image searchCode0
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person RetrievalCode0
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language ModelsCode0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
End-to-End Multimodal Emotion Recognition using Deep Neural NetworksCode0
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Empirical Evaluation of ChatGPT on Requirements Information Retrieval Under Zero-Shot SettingCode0
End-to-end Learning of Deep Visual Representations for Image RetrievalCode0
ConvSDG: Session Data Generation for Conversational SearchCode0
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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