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 2276–2300 of 14297 papers

TitleStatusHype
SEAL: Suite for Evaluating API-use of LLMs—0
Past Meets Present: Creating Historical Analogy with Large Language ModelsCode0
Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications—0
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation—0
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling—0
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems—0
Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies—0
RACOON: An LLM-based Framework for Retrieval-Augmented Column Type Annotation with a Knowledge Graph—0
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option ShufflingCode0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues—0
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning—0
ShizishanGPT: An Agricultural Large Language Model Integrating Tools and ResourcesCode1
PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery—0
Efficient and Discriminative Image Feature Extraction for Universal Image RetrievalCode1
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A SurveyCode1
Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models—0
A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based InsightsCode0
Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization—0
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented GenerationCode3
Retrieval-Augmented Test Generation: How Far Are We?—0
Should RAG Chatbots Forget Unimportant Conversations? Exploring Importance and Forgetting with Psychological InsightsCode0
RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented DialoguesCode0
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists—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