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 351400 of 14297 papers

TitleStatusHype
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
Body Part-Based Representation Learning for Occluded Person Re-IdentificationCode2
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge EnhancementCode2
FLAIR: VLM with Fine-grained Language-informed Image RepresentationsCode2
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity SearchCode2
Adapting Language Models to Compress ContextsCode2
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement LearningCode2
In-Context Retrieval-Augmented Language ModelsCode2
INQUIRE: A Natural World Text-to-Image Retrieval BenchmarkCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsCode2
GENIUS: A Generative Framework for Universal Multimodal SearchCode2
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsCode2
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image RetrievalCode2
Kani: A Lightweight and Highly Hackable Framework for Building Language Model ApplicationsCode2
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and DistillationCode2
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected TrainingCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Knowledge Representation Learning: A Quantitative ReviewCode2
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
Contrastive language and vision learning of general fashion conceptsCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
LARGE: Legal Retrieval Augmented Generation Evaluation ToolCode2
Lawyer LLaMA Technical ReportCode2
LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image RetrievalCode2
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
BEBLID: Boosted efficient binary local image descriptorCode2
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
Animate-A-Story: Storytelling with Retrieval-Augmented Video GenerationCode2
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information RetrievalCode2
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationCode2
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image RetrievalCode2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a BenchmarkCode2
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsCode2
AIR-Bench: Automated Heterogeneous Information Retrieval BenchmarkCode2
LongEmbed: Extending Embedding Models for Long Context RetrievalCode2
Evaluation of Retrieval-Augmented Generation: A SurveyCode2
Extended Mind TransformersCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
Backtracing: Retrieving the Cause of the QueryCode2
Making a MIRACL: Multilingual Information Retrieval Across a Continuum of LanguagesCode2
MASKSEARCH: A Universal Pre-Training Framework to Enhance Agentic Search CapabilityCode2
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree SearchCode2
Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge GraphsCode2
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed RetrievalCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
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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