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 301350 of 14297 papers

TitleStatusHype
Autonomous GIS: the next-generation AI-powered GISCode2
Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingCode2
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
InPars-v2: Large Language Models as Efficient Dataset Generators for Information RetrievalCode2
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image RetrievalCode2
Huatuo-26M, a Large-scale Chinese Medical QA DatasetCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical QuestionsCode2
HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented GenerationCode2
Hello Again! LLM-powered Personalized Agent for Long-term DialogueCode2
Hopfield Networks is All You NeedCode2
AudioSetCaps: An Enriched Audio-Caption Dataset using Automated Generation Pipeline with Large Audio and Language ModelsCode2
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook RetrievalCode2
An Autonomous GIS Agent Framework for Geospatial Data RetrievalCode2
Global Features are All You Need for Image Retrieval and RerankingCode2
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Generating Benchmarks for Factuality Evaluation of Language ModelsCode2
Generalized Contrastive Learning for Multi-Modal Retrieval and RankingCode2
GENIUS: A Generative Framework for Universal Multimodal SearchCode2
VeCLIP: Improving CLIP Training via Visual-enriched CaptionsCode2
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsCode2
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information RetrievalCode2
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity SearchCode2
Flow-Guided Transformer for Video InpaintingCode2
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Associative Recurrent Memory TransformerCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
FLAIR: VLM with Fine-grained Language-informed Image RepresentationsCode2
A Survey of Personalization: From RAG to AgentCode2
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoMLCode2
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical InformationCode2
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano musicCode2
Generating Images with Multimodal Language ModelsCode2
ActiveRAG: Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented AgentsCode2
Active Retrieval Augmented GenerationCode2
KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding ModelCode2
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
EVOR: Evolving Retrieval for Code GenerationCode2
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)Code2
Contrastive language and vision learning of general fashion conceptsCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
A Replication Study of Dense Passage RetrieverCode2
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationCode2
HourVideo: 1-Hour Video-Language UnderstandingCode2
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
ARAGOG: Advanced RAG Output GradingCode2
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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