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 2701–2750 of 14297 papers

TitleStatusHype
Halu-J: Critique-Based Hallucination JudgeCode4
Optimizing Query Generation for Enhanced Document Retrieval in RAG—0
R+X: Retrieval and Execution from Everyday Human Videos—0
Retrieval-Enhanced Machine Learning: Synthesis and Opportunities—0
Goldfish: Vision-Language Understanding of Arbitrarily Long VideosCode4
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook RetrievalCode2
Evaluating Search Engines and Large Language Models for Answering Health QuestionsCode0
Crafting the Path: Robust Query Rewriting for Information Retrieval—0
Object-Aware Query Perturbation for Cross-Modal Image-Text RetrievalCode0
HDLCopilot: Natural Language Exploration of Hardware Designs and Libraries—0
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalCode5
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval—0
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis—0
Better RAG using Relevant Information GainCode0
Scientific QA System with Verifiable AnswersCode2
NeedleBench: Can LLMs Do Retrieval and Reasoning in Information-Dense Context?Code9
Interactions with Generative Information Retrieval Systems—0
Video-Language Alignment via Spatio-Temporal Graph TransformerCode1
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting—0
A PLMs based protein retrieval framework—0
Knowledge and Aptitude Augmented Generation: Adaptive Multi-Turn Interaction in LLM SystemsCode0
Evaluation of RAG Metrics for Question Answering in the Telecom Domain—0
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary GranularityCode1
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation—0
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen RepresentationsCode1
Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval—0
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsCode1
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented GenerationCode2
Numbers Matter! Bringing Quantity-awareness to Retrieval SystemsCode0
The Interpretation Gap in Text-to-Music Generation Models—0
Vector Field Attention for Deformable Image RegistrationCode1
An Autonomous GIS Agent Framework for Geospatial Data RetrievalCode2
One-Bit MIMO Detection: From Global Maximum-Likelihood Detector to Amplitude Retrieval Approach—0
Region-aware Image-based Human Action Retrieval with Transformers—0
Fast and Robust Phase Retrieval via Deep Expectation-Consistent ApproximationCode0
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
Context Embeddings for Efficient Answer Generation in RAG—0
Toward Automatic Group Membership Annotation for Group Fairness Evaluation—0
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
Mitigating Entity-Level Hallucination in Large Language ModelsCode0
Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image RetrievalCode0
Human-like Episodic Memory for Infinite Context LLMsCode3
WalkTheDog: Cross-Morphology Motion Alignment via Phase ManifoldsCode2
A Comprehensive Survey on Retrieval Methods in Recommender Systems—0
LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image RetrievalCode2
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting—0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
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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