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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 4401–4450 of 14297 papers

TitleStatusHype
Benchmarking Robustness of Text-Image Composed RetrievalCode1
Enhancing Peak Assignment in 13C NMR Spectroscopy: A Novel Approach Using Multimodal Alignment—0
Minimizing Factual Inconsistency and Hallucination in Large Language Models—0
Query by Activity Video in the WildCode0
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated ImagesCode0
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex QuestionsCode1
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in RadiologyCode1
AutoKG: Efficient Automated Knowledge Graph Generation for Language ModelsCode1
Medical Image Retrieval Using Pretrained Embeddings—0
Enhancing Uncertainty-Based Hallucination Detection with Stronger FocusCode1
Retrieval-Augmented Layout Transformer for Content-Aware Layout GenerationCode1
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering—0
YouTube Videos for Public Health Literacy? A Machine Learning Pipeline to Curate Covid-19 Videos—0
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature ReviewsCode1
Don't forget private retrieval: distributed private similarity search for large language models—0
Acceleration and Implicit Regularization in Gaussian Phase Retrieval—0
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image RetrievalCode0
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science—0
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications—0
AR Visualization System for Ship Detection and Recognition Based on AI—0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Towards Robust Text Retrieval with Progressive LearningCode0
VLM-Eval: A General Evaluation on Video Large Language Models—0
FinanceBench: A New Benchmark for Financial Question AnsweringCode3
Lesion Search with Self-supervised Learning—0
ShapeMatcher: Self-Supervised Joint Shape Canonicalization, Segmentation, Retrieval and DeformationCode1
Single-shot Phase Retrieval from a Fractional Fourier Transform Perspective—0
A Comparative Analysis of Retrievability and PageRank Measures—0
Cross-Modal Search and Exploration of Greek Painted Pottery—0
3D-TexSeg: Unsupervised Segmentation of 3D Texture using Mutual Transformer Learning—0
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis—0
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language EvaluationCode1
Tracking the Newsworthiness of Public Documents—0
On Retrieval Augmentation and the Limitations of Language Model Training—0
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
Multi-Step Dialogue Workflow Action Prediction—0
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering—0
AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method—0
FinanceMath: Knowledge-Intensive Math Reasoning in Finance DomainsCode1
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation SystemsCode2
Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents—0
IterCQR: Iterative Conversational Query Reformulation with Retrieval GuidanceCode1
VideoCon: Robust Video-Language Alignment via Contrast CaptionsCode1
Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for ScienceCode0
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach—0
LePaRD: A Large-Scale Dataset of Judges Citing PrecedentsCode1
Scalable and Effective Generative Information RetrievalCode1
Phase retrieval with semi-algebraic and ReLU neural network priors—0
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional TrainingCode2
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and RectificationCode0
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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