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 14251–14297 of 14297 papers

TitleStatusHype
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization RetrievalCode0
Primal-Dual Block Frank-WolfeCode0
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial DocumentsCode0
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningCode0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Uncertainty Quantification in Retrieval Augmented Question AnsweringCode0
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based ChatbotsCode0
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender SystemCode0
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregationCode0
Revisiting Sparse Retrieval for Few-shot Entity LinkingCode0
RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step RetrievalCode0
Who's Who: Large Language Models Meet Knowledge Conflicts in PracticeCode0
Wavelet invariants for statistically robust multi-reference alignmentCode0
Online Continual Learning with Maximally Interfered RetrievalCode0
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine IntentsCode0
WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary KnowledgeCode0
Understanding and Improving the Exemplar-based Generation for Open-domain ConversationCode0
RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR EnvironmentsCode0
XAMPLER: Learning to Retrieve Cross-Lingual In-Context ExamplesCode0
On the Relationship Between Variational Inference and Auto-Associative MemoryCode0
Revisiting Singing Voice Detection: a Quantitative Review and the Future OutlookCode0
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical TextsCode0
On the Merge of k-NN GraphCode0
Priberam at MESINESP Multi-label Classification of Medical Texts TaskCode0
Understanding Attention for Vision-and-Language TasksCode0
Particular object retrieval with integral max-pooling of CNN activationsCode0
Revisiting Multi-Codebook QuantizationCode0
Partial Scene Text RetrievalCode0
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs BetterCode0
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose RefinementCode0
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsCode0
RAFIC: Retrieval-Augmented Few-shot Image ClassificationCode0
Weakly Supervised Deep Hyperspherical Quantization for Image RetrievalCode0
Towards a Better Understanding Human Reading Comprehension with Brain SignalsCode0
Revisiting Hotels-50K and Hotel-IDCode0
Revisiting Cosine Similarity via Normalized ICA-transformed EmbeddingsCode0
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional InformationCode0
Weakly Supervised Deep Image Hashing through Tag EmbeddingsCode0
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence RetrievalCode0
Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation ModelsCode0
Revision Transformers: Instructing Language Models to Change their ValuesCode0
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case LawCode0
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes FromCode0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Optimization of phase retrieval in the Fresnel domain by the modified Gerchberg-Saxton algorithmCode0
Optimal sparse phase retrieval via a quasi-Bayesian approachCode0
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning ChallengeCode0
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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