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 7201–7250 of 14297 papers

TitleStatusHype
Class-Specific Blind Deconvolutional Phase Retrieval Under a Generative Prior—0
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques—0
Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images—0
Large-scale image analysis using docker sandboxing—0
Evolutionary algorithm based adaptive navigation in information retrieval interfaces—0
Classroom Video Assessment and Retrieval via Multiple Instance Learning—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
Evidential Transformers for Improved Image Retrieval—0
An Empirical Study of Frame Selection for Text-to-Video Retrieval—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation—0
A Review on Image Texture Analysis Methods—0
Large scale near-duplicate image retrieval using Triples of Adjacent Ranked Features (TARF) with embedded geometric information—0
Large-Scale Pedestrian Retrieval Competition—0
Learning to Rank for Active Learning: A Listwise Approach—0
Learning To Rank Resources with GNN—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Classifying Peace in Global Media Using RAG and Intergroup Reciprocity—0
Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Large-scale representation learning from visually grounded untranscribed speech—0
Large-Scale Retrieval for Reinforcement Learning—0
Classifying magnetic resonance image modalities with convolutional neural networks—0
A Review of Speaker Diarization: Recent Advances with Deep Learning—0
DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning—0
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval—0
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences—0
Large Scale Video Representation Learning via Relational Graph Clustering—0
Vision-Language Models Learn Super Images for Efficient Partially Relevant Video Retrieval—0
Large Scale Visual Food Recognition—0
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation—0
Classification Tree Diagrams in Health Informatics Applications—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Deep Supervised Discrete Hashing—0
Evidence-based Trustworthiness—0
BERT-Embedding and Citation Network Analysis based Query Expansion Technique for Scholarly Search—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition—0
Classification or Generation? Understanding Paradigm Shift for Knowledge-Intensive Tasks—0
A Review of Repository Level Prompting for LLMs—0
Deep Supervised Hashing With Anchor Graph—0
Late multimodal fusion for image and audio music transcription—0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets—0
Latent Space Embedding for Retrieval in Question-Answer Archives—0
Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis—0
Latent-variable Private Information Retrieval—0
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models—0
LaT: Latent Translation with Cycle-Consistency for Video-Text Retrieval—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—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