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 6101–6150 of 14297 papers

TitleStatusHype
How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?—0
Extending Cross-Modal Retrieval with Interactive Learning to Improve Image Retrieval Performance in Forensics—0
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval—0
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?—0
How to Search the Internet Archive Without Indexing It—0
How to Train Triplet Networks with 100K Identities?—0
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval—0
COVIDLies: Detecting COVID-19 Misinformation on Social Media—0
How User Language Affects Conflict Fatality Estimates in ChatGPT—0
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching—0
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors—0
Coarse2Fine: Two-Layer Fusion For Image Retrieval—0
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency—0
A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning—0
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval—0
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition—0
Extending a wordnet framework for simplicity and scalability—0
CNNs with Multi-Level Attention for Domain Generalization—0
Ext2Gen: Alignment through Unified Extraction and Generation for Robust Retrieval-Augmented Generation—0
EXS: Explainable Search Using Local Model Agnostic Interpretability—0
CNN Retrieval based Unsupervised Metric Learning for Near-Duplicated Video Retrieval—0
CPR: Retrieval Augmented Generation for Copyright Protection—0
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning—0
ASAP DML: Deep Metric Learning with Alternating Sets of Alternating Proxies—0
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks—0
Human Action Recognition and Prediction: A Survey—0
Human-Aligned Image Models Improve Visual Decoding from the Brain—0
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving—0
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation—0
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications—0
Exquisitor: Interactive Learning at Large—0
Human in the loop approaches in multi-modal conversational task guidance system development—0
Human-in-the-Loop Schema Induction—0
A Hybrid Citation Retrieval Algorithm for Evidence-based Clinical Knowledge Summarization: Combining Concept Extraction, Vector Similarity and Query Expansion for High Precision—0
A Counterfactual Explanation Framework for Retrieval Models—0
Human memory search as a random walk in a semantic network—0
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings—0
Human-Oriented Image Retrieval System (HORSE): A Neuro-Symbolic Approach to Optimizing Retrieval of Previewed Images—0
Expressive TTS Driven by Natural Language Prompts Using Few Human Annotations—0
A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval—0
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations—0
Crawler for Image Acquisition from World Wide Web—0
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases—0
CNN Based Hashing for Image Retrieval—0
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation—0
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation—0
Expressing Objects just like Words: Recurrent Visual Embedding for Image-Text Matching—0
Exposing Query Identification for Search Transparency—0
Creating a Data Collection for Evaluating Rich Speech Retrieval—0
ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature—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