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 8151–8200 of 14297 papers

TitleStatusHype
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token ModelingCode1
Variational Learning for Unsupervised Knowledge Grounded DialogsCode0
Music Classification: Beyond Supervised Learning, Towards Real-world ApplicationsCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Zero-Shot Open-Book Question AnsweringCode0
Florence: A New Foundation Model for Computer VisionCode1
Deep Reinforced Attention Regression for Partial Sketch Based Image RetrievalCode0
The Impact of Main Content Extraction on Near-Duplicate Detection—0
A Neural Network Model of the Entorhinal Cortex and Hippocampus for Event-order Memory Processing—0
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph—0
Effects of context, complexity, and clustering on evaluation for math formula retrieval—0
Advancing High-Resolution Video-Language Representation with Large-Scale Video TranscriptionsCode1
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
Sketch-based Creativity Support Tools using Deep Learning—0
Building a Question Answering System for the Manufacturing Domain—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information RetrievalCode0
Detecting Cross-Language Plagiarism using Open Knowledge GraphsCode0
Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks—0
Quality and Cost Trade-offs in Passage Re-ranking Task—0
Induce, Edit, Retrieve:Language Grounded Multimodal Schema for Instructional Video Retrieval—0
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction—0
Retrieval-guided Counterfactual Generation for QA—0
Is Cross-lingual Evaluation Only About Cross-lingual?—0
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation—0
Retrieval Data Augmentation Informed by Downstream Question Answering Performance—0
Repo4QA: Answering Complex Coding Questions via Dense Retrieval on GitHub Repositories—0
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data—0
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation—0
Modeling Multi-hop Question Answering as Single Sequence Prediction—0
Get Your Model Puzzled: Introducing Crossword-Solving as a New NLP Benchmark—0
Get the Point! Graph Enhanced Candidate Retrieval for Zero-shot Entity Linking—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
RELiC: Retrieving Evidence for Literary Claims—0
Searching for fingerspelled content in American Sign Language—0
Ask Me Anything in Your Native Language—0
Calibration of Machine Reading Systems at Scale—0
Dynamic Entity Memory Network for Dialogue Relational Triplet Extraction—0
DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog—0
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment—0
Do We Need to Differentiate Negative Candidates Before Training a Neural Ranker?—0
MATHion: Solving Math Word Problems with Logically Consistent Problems—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction—0
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances—0
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models—0
DialFact: A Benchmark for Fact-Checking in Dialogue—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data—0
BERT got a Date: Introducing Transformers to Temporal Tagging—0
Slot Filling for Biomedical Information Extraction—0
Retrieval-based Layer-wise Adaptive Transformer for Source Code Summarization—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