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 4601–4650 of 14297 papers

TitleStatusHype
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
Universal representation by Boltzmann machines with Regularised Axons—0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains—0
NERetrieve: Dataset for Next Generation Named Entity Recognition and RetrievalCode1
Merging Generated and Retrieved Knowledge for Open-Domain QACode1
Large Language Models and Multimodal Retrieval for Visual Word Sense DisambiguationCode0
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module PluginCode1
An Invitation to Hypercomplex Phase Retrieval: Theory and Applications—0
FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction—0
VR PreM+ : An Immersive Pre-learning Branching Visualization System for Museum Tours—0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-trainingCode1
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
Semantic Decomposition of Question and SQL for Text-to-SQL ParsingCode0
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language ModelCode1
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
InvGC: Robust Cross-Modal Retrieval by Inverse Graph ConvolutionCode0
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document RankingCode1
Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval—0
Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring—0
Representation Learning via Consistent Assignment of Views over Random PartitionsCode0
Fast and Accurate Factual Inconsistency Detection Over Long DocumentsCode1
Reliable Academic Conference Question Answering: A Study Based on Large Language ModelCode0
Auto Search Indexer for End-to-End Document Retrieval—0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Revisiting Sparse Retrieval for Few-shot Entity LinkingCode0
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal AdapterCode1
A Read-and-Select Framework for Zero-shot Entity LinkingCode0
Know Where to Go: Make LLM a Relevant, Responsible, and Trustworthy Searcher—0
Noise-robust latent vector reconstruction in ptychography using deep generative models—0
Position Interpolation Improves ALiBi ExtrapolationCode2
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language ModelsCode1
Retrieve-Cluster-Summarize: An Alternative to End-to-End Training for Query-specific Article Generation—0
Open-ended Commonsense Reasoning with Unrestricted Answer Scope—0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future FailuresCode0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
CIR at the NTCIR-17 ULTRE-2 Task—0
Emptying the Ocean with a Spoon: Should We Edit Models?—0
Simulating Users in Interactive Web Table RetrievalCode0
A Comprehensive Evaluation of Large Language Models on Legal Judgment PredictionCode1
A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge—0
Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery BanksCode0
Heterogenous Memory Augmented Neural NetworksCode0
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language ModelsCode1
On Coherence-based Predictors for Dense Query Performance Prediction—0
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionCode4
Towards reducing hallucination in extracting information from financial reports using Large Language Models—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