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 3501–3550 of 14297 papers

TitleStatusHype
StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place RecognitionCode0
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation—0
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation—0
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions—0
MOHPER: Multi-objective Hyperparameter Optimization Framework for E-commerce Retrieval System—0
Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational HistoryCode0
Data-Efficient Generalization for Zero-shot Composed Image Retrieval—0
Automatic Teaching Platform on Vision Language Retrieval Augmented Generation—0
Improving RAG Retrieval via Propositional Content Extraction: a Speech Act Theory Approach—0
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance—0
Personalized Text Generation with Contrastive Activation Steering—0
LoRACode: LoRA Adapters for Code Embeddings—0
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval—0
Beyond Disorder: Unveiling Cooperativeness in Multidirectional Associative Memories—0
RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining—0
HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs—0
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence—0
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney DiseaseCode0
RASD: Retrieval-Augmented Speculative Decoding—0
Psy-Copilot: Visual Chain of Thought for Counseling—0
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation EditsCode0
Role of Databases in GenAI Applications—0
Hierarchical Re-ranker Retriever (HRR)—0
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective—0
PanguIR Technical Report for NTCIR-18 AEOLLM Task—0
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings—0
Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization—0
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations—0
Optimizing open-domain question answering with graph-based retrieval augmented generation—0
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning—0
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior SequenceCode0
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing—0
Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems?Code0
Boolean-aware Attention for Dense Retrieval—0
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation—0
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation—0
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models—0
SAGE: A Framework of Precise Retrieval for RAG—0
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering—0
SolBench: A Dataset and Benchmark for Evaluating Functional Correctness in Solidity Code Completion and Repair—0
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations—0
Random Walks in Self-supervised Learning for Triangular Meshes—0
Can We Find the Code? An Empirical Study of Google Scholar's Code Retrieval—0
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-HaystackCode0
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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