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

Showing 34513500 of 14297 papers

TitleStatusHype
Evaluating Retrieval Quality in Retrieval-Augmented GenerationCode1
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense RetrievalCode1
Anchor-aware Deep Metric Learning for Audio-visual Retrieval0
Video sentence grounding with temporally global textual knowledge0
Collaborative Visual Place Recognition through Federated Learning0
Retrieval-Augmented Generation-based Relation ExtractionCode2
Single-sample image-fusion upsampling of fluorescence lifetime images0
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge BasesCode3
Towards Human-centered Proactive Conversational Agents0
Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQLCode1
The Solution for the CVPR2024 NICE Image Captioning Challenge0
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models0
Multi-Class Quantum Convolutional Neural Networks0
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?Code1
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering0
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation0
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds0
From Language Models to Practical Self-Improving Computer Agents0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models0
De-DSI: Decentralised Differentiable Search IndexCode0
Length Generalization of Causal Transformers without Position EncodingCode1
RAM: Towards an Ever-Improving Memory System by Learning from Communications0
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval0
LongEmbed: Extending Embedding Models for Long Context RetrievalCode2
iRAG: Advancing RAG for Videos with an Incremental Approach0
Exploring the landscape of large language models: Foundations, techniques, and challenges0
FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge0
Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?0
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMsCode1
A Survey on Retrieval-Augmented Text Generation for Large Language Models0
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM EraCode2
NeuroHash: A Hyperdimensional Neuro-Symbolic Framework for Spatially-Aware Image Hashing and Retrieval0
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and NegativesCode1
Position Engineering: Boosting Large Language Models through Positional Information Manipulation0
More Room for Language: Investigating the Effect of Retrieval on Language ModelsCode0
LLMs4OM: Matching Ontologies with Large Language ModelsCode1
Find The Gap: Knowledge Base Reasoning For Visual Question Answering0
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape ReconstructionCode1
Watch Your Step: Optimal Retrieval for Continual Learning at Scale0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression0
ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceCode1
Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question AnsweringCode1
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose RefinementCode0
Towards Compositionally Generalizable Semantic Parsing in Large Language Models: A Survey0
Memory Sharing for Large Language Model based AgentsCode1
Knowledge-enhanced Visual-Language Pretraining for Computational PathologyCode1
ChatShop: Interactive Information Seeking with Language Agents0
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval0
Exploring the Nexus Between Retrievability and Query Generation Strategies0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified