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 3151–3175 of 14297 papers

TitleStatusHype
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation—0
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language ModelsCode1
Dataflow-Guided Retrieval Augmentation for Repository-Level Code CompletionCode1
Knowledge-grounded Adaptation Strategy for Vision-language Models: Building Unique Case-set for Screening Mammograms for Residents Training—0
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation—0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
Uncertainty-aware sign language video retrieval with probability distribution modeling—0
GNN-RAG: Graph Neural Retrieval for Large Language Model ReasoningCode3
Jina CLIP: Your CLIP Model Is Also Your Text Retriever—0
Toward Conversational Agents with Context and Time Sensitive Long-term MemoryCode1
Unlearning Climate Misinformation in Large Language Models—0
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter—0
MUVERA: Multi-Vector Retrieval via Fixed Dimensional EncodingsCode1
Transcending Fusion: A Multi-Scale Alignment Method for Remote Sensing Image-Text RetrievalCode1
Multi-Modal Generative Embedding Model—0
Expert-Guided Extinction of Toxic Tokens for Debiased Generation—0
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMsCode1
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions—0
Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation—0
CtrlA: Adaptive Retrieval-Augmented Generation via Inherent ControlCode2
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution—0
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
Learning from Litigation: Graphs and LLMs for Retrieval and Reasoning in eDiscovery—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