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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 576–600 of 14297 papers

TitleStatusHype
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real WebsitesCode3
Streamlining Biomedical Research with Specialized LLMs—0
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage—0
Towards Efficient Partially Relevant Video Retrieval with Active Moment DiscoveringCode0
Visual Re-Ranking with Non-Visual Side InformationCode0
TMCIR: Token Merge Benefits Composed Image Retrieval—0
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation—0
CSPLADE: Learned Sparse Retrieval with Causal Language Models—0
Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative ContextsCode0
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes FromCode0
Ai2 Scholar QA: Organized Literature Synthesis with AttributionCode3
TADACap: Time-series Adaptive Domain-Aware Captioning—0
ReZero: Enhancing LLM search ability by trying one-more-time—0
Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance—0
Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionCode1
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning—0
Constrained Auto-Regressive Decoding Constrains Generative Retrieval—0
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents—0
MURR: Model Updating with Regularized Replay for Searching a Document Stream—0
On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures—0
RAKG:Document-level Retrieval Augmented Knowledge Graph ConstructionCode3
UP-Person: Unified Parameter-Efficient Transfer Learning for Text-based Person RetrievalCode0
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities—0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
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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