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 9976–10000 of 14297 papers

TitleStatusHype
Dave the debater: a retrieval-based and generative argumentative dialogue agent—0
DAWT: Densely Annotated Wikipedia Texts across multiple languages—0
Dbnary: Wiktionary as a LMF based Multilingual RDF network—0
DCAF: A Dynamic Computation Allocation Framework for Online Serving System—0
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding—0
DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels—0
DCI: Discriminative and Contrast Invertible Descriptor—0
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation—0
Decentralizing AI Memory: SHIMI, a Semantic Hierarchical Memory Index for Scalable Agent Reasoning—0
Decoding BACnet Packets: A Large Language Model Approach for Packet Interpretation—0
Decoding Word Embeddings with Brain-Based Semantic Features—0
Decoding Working Memory Load from EEG with LSTM Networks—0
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs—0
Decompose Semantic Shifts for Composed Image Retrieval—0
Decomposing Complex Queries for Tip-of-the-tongue Retrieval—0
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval—0
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval—0
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes—0
Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes—0
Decoupled Context Processing for Context Augmented Language Modeling—0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—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