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 8001–8050 of 14297 papers

TitleStatusHype
LRSE: A Lightweight Efficient Searchable Encryption Scheme using Local and Global Representations—0
LSC-ADL: An Activity of Daily Living (ADL)-Annotated Lifelog Dataset Generated via Semi-Automatic Clustering—0
Document Distance for the Automated Expansion of Relevance Judgements for Information Retrieval Evaluation—0
Boosting Video-Text Retrieval with Explicit High-Level Semantics—0
LSTM-Based Predictions for Proactive Information Retrieval—0
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval—0
Evaluating D-MERIT of Partial-annotation on Information Retrieval—0
Choppy: Cut Transformer For Ranked List Truncation—0
Evaluating Dense Passage Retrieval using Transformers—0
Lukthung Classification Using Neural Networks on Lyrics and Audios—0
Evaluating Contrastive Models for Instance-based Image Retrieval—0
Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost—0
LUNDRY MANAGEMENT SYSTEM PROJECT REPORT—0
LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement—0
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models—0
Document image classification, with a specific view on applications of patent images—0
LWFNet: Coherent Doppler Wind Lidar-Based Network for Wind Field Retrieval—0
An Ontology-driven Treatment Article Retrieval System for Precision Oncology—0
Lynx: An Open Source Hallucination Evaluation Model—0
LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation—0
Document Layout Analysis via Dynamic Residual Feature Fusion—0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
Aggregating Binary Local Descriptors for Image Retrieval—0
Document Network Embedding: Coping for Missing Content and Missing Links—0
Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach—0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
Document Network Projection in Pretrained Word Embedding Space—0
Meta-Inductive Node Classification across Graphs—0
MessIRve: A Large-Scale Spanish Information Retrieval Dataset—0
Machine Learning Approaches for Amharic Parts-of-speech Tagging—0
Machine learning approach for text and document mining—0
Machine Learning, Clustering, and Polymorphy—0
Machine Learning for Food Review and Recommendation—0
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries—0
Machine Learning Information Retrieval and Summarisation to Support Systematic Review on Outcomes Based Contracting—0
ChipNeMo: Domain-Adapted LLMs for Chip Design—0
Machine Learning with World Knowledge: The Position and Survey—0
Machine Psychology—0
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots—0
Documents as multiple overlapping windows into grids of counts—0
Adversarial Databases Improve Success in Retrieval-based Large Language Models—0
Machine Translation and Automated Analysis of the Sumerian Language—0
Machine Translation Impact in E-commerce Multilingual Search—0
Evaluating and Enhancing Large Language Models Performance in Domain-specific Medicine: Osteoarthritis Management with DocOA—0
Are Neural Ranking Models Robust?—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models—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