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 11251–11300 of 14297 papers

TitleStatusHype
Revisiting the Role of Similarity and Dissimilarity in Best Counter Argument Retrieval—0
Revisiting the Roles of “Text” in Text Games—0
Revisiting the Roles of "Text" in Text Games—0
Pseudo-triplet Guided Few-shot Composed Image Retrieval—0
VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks—0
Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval—0
Revisiting Visual Grounding—0
Revisiting Winner Take All (WTA) Hashing for Sparse Datasets—0
VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning—0
Pseudo-Query Reformulation—0
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation—0
Reward-free Policy Imitation Learning for Conversational Search—0
Reward-RAG: Enhancing RAG with Reward Driven Supervision—0
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding—0
Pruning Convolutional Neural Networks for Image Instance Retrieval—0
ReZero: Enhancing LLM search ability by trying one-more-time—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
Pruning Algorithms for Low-Dimensional Non-metric k-NN Search: A Case Study—0
RGTI:Response generation via templates integration for End to End dialog—0
Rhetorical relations for information retrieval—0
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence—0
RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation—0
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval—0
Proximity Full-Text Search with a Response Time Guarantee by Means of Additional Indexes—0
Video 3D Sampling for Self-supervised Representation Learning—0
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices—0
Proximity full-text searches of frequently occurring words with a response time guarantee—0
Proximity Full-Text Search by Means of Additional Indexes with Multi-component Keys: In Pursuit of Optimal Performance—0
RISE: Leveraging Retrieval Techniques for Summarization Evaluation—0
Rising Novelties on Evolving Networks: Recent Behavior Dominant and Non-Dominant Model—0
Video and Audio are Images: A Cross-Modal Mixer for Original Data on Video-Audio Retrieval—0
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance—0
RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs—0
Proximal Policy Optimization for Improved Convergence in IRGAN—0
RLocator: Reinforcement Learning for Bug Localization—0
RLTM: An Efficient Neural IR Framework for Long Documents—0
RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse—0
Provence: efficient and robust context pruning for retrieval-augmented generation—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
Provably-secure symmetric private information retrieval with quantum cryptography—0
Provable Phase Retrieval with Mirror Descent—0
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval—0
Provable Non-linear Inductive Matrix Completion—0
Robust and lightweight audio fingerprint for Automatic Content Recognition—0
X-ray phase-contrast imaging: a broad overview of some fundamentals—0
Video Captioning with Multi-Faceted Attention—0
Robust Bayesian Scene Reconstruction by Leveraging Retrieval-Augmented Priors—0
Robust Calibrate Proxy Loss for Deep Metric Learning—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