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 8151–8200 of 14297 papers

TitleStatusHype
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?—0
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents—0
MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover—0
Matrix Factorization-Based Clustering Of Image Features For Bandwidth-Constrained Information Retrieval—0
Estimating Personal Model Parameters from Utterances in Model-based Reminiscence—0
CHIC: Corporate Document for Visual question Answering—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models—0
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
Modal-aware Features for Multimodal Hashing—0
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning—0
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle—0
Max-C and Min-D Projection Autoassociative Fuzzy Morphological Memories: Theory and an Application for Face Recognition—0
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval—0
Maximizing Use-Case Specificity through Precision Model Tuning—0
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users—0
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data—0
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift—0
Maximum-Margin Hamming Hashing—0
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods—0
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs—0
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model—0
ESGReveal: An LLM-based approach for extracting structured data from ESG reports—0
MCoT-RE: Multi-Faceted Chain-of-Thought and Re-Ranking for Training-Free Zero-Shot Composed Image Retrieval—0
MCP Safety Training: Learning to Refuse Falsely Benign MCP Exploits using Improved Preference Alignment—0
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents—0
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits—0
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems—0
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction—0
MDL-CW: A Multimodal Deep Learning Framework With Cross Weights—0
MDMMT-2: Multidomain Multimodal Transformer for Video Retrieval, One More Step Towards Generalization—0
Aggregated Deep Local Features for Remote Sensing Image Retrieval—0
MMED: A Multi-domain and Multi-modality Event Dataset—0
Do We Really Need Scene-specific Pose Encoders?—0
Mean Embeddings with Test-Time Data Augmentation for Ensembling of Representations—0
Mean Field Theory in Deep Metric Learning—0
CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning—0
3D Shape Retrieval via Irrelevance Filtering and Similarity Ranking (IF/SR)—0
ERTIM@MC2: Diversified Argumentative Tweets Retrieval—0
Wonderful Matrices: More Efficient and Effective Architecture for Language Modeling Tasks—0
A Relation Extraction Approach for Clinical Decision Support—0
Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval—0
Error Bound of Empirical _2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems—0
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training—0
Checking Fact Worthiness using Sentence Embeddings—0
A Computational Approach to Relative Aesthetics—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