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 9101–9125 of 14297 papers

TitleStatusHype
Fast, Small, and Simple Document Listing on Repetitive Text Collections—0
CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish—0
Fast & Slow Learning: Incorporating Synthetic Gradients in Neural Memory Controllers—0
Fast Slate Policy Optimization: Going Beyond Plackett-Luce—0
Cold Start Problem For Automated Live Video Comments—0
Ask Me Anything in Your Native Language—0
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval—0
FastRAG: Retrieval Augmented Generation for Semi-structured Data—0
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring—0
Ask Me Anything in Your Native Language—0
ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring—0
AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature—0
Fast Metric Learning For Deep Neural Networks—0
Fast Loop Closure Detection via Binary Content—0
Fast Kronecker product kernel methods via generalized vec trick—0
Asking More Informative Questions for Grounded Retrieval—0
AI Revolution on Chat Bot: Evidence from a Randomized Controlled Experiment—0
Fast Interactive Image Retrieval using large-scale unlabeled data—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
Fast Gumbel-Max Sketch and its Applications—0
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization—0
COIN: Co-Cluster Infomax for Bipartite Graphs—0
Fast Generating A Large Number of Gumbel-Max Variables—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—0
Asking Clarifying Questions Based on Negative Feedback in Conversational Search—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