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 326–350 of 14297 papers

TitleStatusHype
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge GraphsCode2
DeliLaw: A Chinese Legal Counselling System Based on a Large Language ModelCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
Retrieval with Learned SimilaritiesCode2
Prior Knowledge Integration via LLM Encoding and Pseudo Event Regulation for Video Moment RetrievalCode2
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question AnsweringCode2
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook RetrievalCode2
Scientific QA System with Verifiable AnswersCode2
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented GenerationCode2
An Autonomous GIS Agent Framework for Geospatial Data RetrievalCode2
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric AgentsCode2
WalkTheDog: Cross-Morphology Motion Alignment via Phase ManifoldsCode2
LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image RetrievalCode2
LitSearch: A Retrieval Benchmark for Scientific Literature SearchCode2
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical QuestionsCode2
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsCode2
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic ManipulationCode2
Associative Recurrent Memory TransformerCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
Mixture of A Million ExpertsCode2
CoIR: A Comprehensive Benchmark for Code Information Retrieval ModelsCode2
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text GenerationCode2
Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingCode2
The Surprising Effectiveness of Multimodal Large Language Models for Video Moment RetrievalCode2
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
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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