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 13151–13200 of 14297 papers

TitleStatusHype
Towards Semantic Search for Community Question Answering for Mortgage Officers—0
Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings—0
Participation de l'IRISA \`a DeFT2012 : recherche d'information et apprentissage pour la g\'en\'eration de mots-cl\'es (IRISA participation to DeFT2012: information retrieval and machine-learning for keyword generation) [in French]—0
Towards Theoretical Understanding of Weak Supervision for Information Retrieval—0
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems—0
Traversing the Continuous Spectrum of Image Retrieval with Deep Dynamic Models—0
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval—0
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning—0
Towards Understanding Retrieval Accuracy and Prompt Quality in RAG Systems—0
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input—0
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback—0
Towards Universal Dense Retrieval for Open-domain Question Answering—0
Towards Unlocking Insights from Logbooks Using AI—0
Part-based Multi-stream Model for Vehicle Searching—0
Towards Unsupervised Sketch-based Image Retrieval—0
Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders—0
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection—0
ParMAC: distributed optimisation of nested functions, with application to learning binary autoencoders—0
Towards Visually Explaining Similarity Models—0
ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation—0
Pareto-depth for Multiple-query Image Retrieval—0
Toward the Automatic Retrieval and Annotation of Outsider Art images: A Preliminary Statement—0
Toward the Understanding of Deep Text Matching Models for Information Retrieval—0
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning—0
Toward Word Embedding for Personalized Information Retrieval—0
TPCap: Unlocking Zero-Shot Image Captioning with Trigger-Augmented and Multi-Modal Purification Modules—0
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method—0
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning—0
TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval—0
TQDL: Integrated Models for Cross-Language Document Retrieval—0
Traceback of Poisoning Attacks to Retrieval-Augmented Generation—0
Trace Reconstruction Problems in Computational Biology—0
Training With "Paraphrasing the Original Text" Improves Long-Context Performance—0
SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval—0
Paraphrase Generation by Learning How to Edit from Samples—0
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs—0
Tracing Traditions: Automatic Extraction of Isnads from Classical Arabic Texts—0
Tracking Textual Similarities in Neo-Latin Drama Networks—0
Tracking the Newsworthiness of Public Documents—0
Tracking the perspectives of interacting language models—0
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering—0
Parameterized Neural Network Language Models for Information Retrieval—0
Tradeoffs in Resampling and Filtering for Imbalanced Classification—0
Tradeoffs in Sentence Selection Techniques for Open-Domain Question Answering—0
Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG—0
One word at a time: adversarial attacks on retrieval models—0
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters—0
Training a Ranking Function for Open-Domain Question Answering—0
Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data—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