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 5501–5550 of 14297 papers

TitleStatusHype
Direct Fact Retrieval from Knowledge Graphs without Entity Linking—0
IR Models and the COVID-19 Pandemic: A Comparative Study of Performance and Challenges—0
Automated Few-shot Classification with Instruction-Finetuned Language ModelsCode0
Description-Based Text Similarity—0
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures—0
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge RefinementCode2
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set AlignmentCode1
Patton: Language Model Pretraining on Text-Rich Networks—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction—0
How Does Generative Retrieval Scale to Millions of Passages?—0
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach—0
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations—0
Complex Claim Verification with Evidence Retrieved in the WildCode1
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings—0
ReFIT: Relevance Feedback from a Reranker during InferenceCode1
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets—0
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search—0
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain SettingsCode1
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place RecognitionCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question AnsweringCode1
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage ResolutionCode0
MALM: Mask Augmentation based Local Matching for Food-Recipe RetrievalCode0
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense RetrievalCode1
Advancing Full-Text Search Lemmatization Techniques with Paradigm Retrieval from OpenCorpora—0
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval—0
The Web Can Be Your Oyster for Improving Large Language ModelsCode1
Tram: A Token-level Retrieval-augmented Mechanism for Source Code SummarizationCode0
TOME: A Two-stage Approach for Model-based Retrieval—0
Query Performance Prediction: From Ad-hoc to Conversational SearchCode1
ONE-PEACE: Exploring One General Representation Model Toward Unlimited ModalitiesCode3
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous GraphCode1
Selective Query Processing: a Risk-Sensitive Selection of System Configurations—0
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsCode1
Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented DialogCode0
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion RetrievalCode0
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries—0
CLIP-GCD: Simple Language Guided Generalized Category Discovery—0
Object Re-Identification from Point Clouds—0
Large Language Models are Built-in Autoregressive Search EnginesCode1
Robust and lightweight audio fingerprint for Automatic Content Recognition—0
Phase Retrieval via Model-Free Power Flow Jacobian RecoveryCode0
Hybrid and Collaborative Passage RerankingCode0
Soft Prompt Decoding for Multilingual Dense Retrieval—0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsCode1
M^6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout AnalysisCode0
Efficient and Effective Tree-based and Neural Learning to Rank—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