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 7401–7450 of 14297 papers

TitleStatusHype
MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural RetrievalCode0
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image MatchingCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
One Picture is Worth a Thousand Words: A New Wallet Recovery Process—0
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims—0
Analysing the Robustness of Dual Encoders for Dense Retrieval Against MisspellingsCode0
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt TuningCode0
Hyperbolic Relevance Matching for Neural Keyphrase ExtractionCode1
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain—0
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation RecognitionCode1
A Computational Inflection for Scientific Discovery—0
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training—0
Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression ExtractionCode0
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques—0
On Ranking Consistency of Pre-ranking Stage—0
A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysis—0
ORCAS-I: Queries Annotated with Intent using Weak SupervisionCode0
Retrieval-Enhanced Machine Learning—0
Fast algorithms for nonlinear and constrained phase retrieval in near-field X-ray holography based on Tikhonov regularization—0
Studying Retrievability of Publications and Datasets in an Integrated Retrieval System—0
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval—0
Entity-aware Transformers for Entity SearchCode1
Making Large Language Models Interactive: A Pioneer Study on Supporting Complex Information-Seeking Tasks with Implicit Constraints—0
CenterCLIP: Token Clustering for Efficient Text-Video RetrievalCode1
Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning—0
Knowledge Enhanced Reflection Generation for Counseling Dialogues—0
MMCoQA: Conversational Question Answering over Text, Tables, and ImagesCode0
Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies—0
Scene-Text Aware Image and Text Retrieval with Dual-Encoder—0
Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation—0
Docalog: Multi-document Dialogue System using Transformer-based Span RetrievalCode0
WatClaimCheck: A new Dataset for Claim Entailment and InferenceCode0
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data—0
Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model—0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval—0
Nested Named Entity Recognition with Span-level Graphs—0
Retrieval Data Augmentation Informed by Downstream Question Answering Performance—0
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation—0
What Makes Good In-Context Examples for GPT-3?—0
UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents—0
Query Generation with External Knowledge for Dense Retrieval—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
TRAttack”:" Text Rewriting Attack Against Text Retrieval—0
DS-TOD: Efficient Domain Specialization for Task-Oriented DialogCode0
Textual Stylistic Variation: Choices, Genres and Individuals—0
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers—0
Learn to Understand Negation in Video RetrievalCode0
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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