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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 3076–3100 of 14297 papers

TitleStatusHype
MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model—0
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval—0
Hello Again! LLM-powered Personalized Agent for Long-term DialogueCode2
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models—0
Async Learned User Embeddings for Ads Delivery Optimization—0
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents—0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
Corpus Poisoning via Approximate Greedy Gradient DescentCode0
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More—0
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs BetterCode0
Diving Deep into the Motion Representation of Video-Text ModelsCode0
Multi-Head RAG: Solving Multi-Aspect Problems with LLMsCode3
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance PredictionCode0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAU—0
DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks—0
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation—0
On The Importance of Reasoning for Context Retrieval in Repository-Level Code EditingCode1
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal RecipeCode0
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential—0
Reducing the climate impact of data portals: a case study—0
Measuring and Addressing Indexical Bias in Information RetrievalCode0
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval—0
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All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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