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 1176–1200 of 14297 papers

TitleStatusHype
On Memory Construction and Retrieval for Personalized Conversational Agents—0
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A SurveyCode2
Knowledge Graph-Guided Retrieval Augmented GenerationCode2
Hypencoder: Hypernetworks for Information Retrieval—0
RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented Generation—0
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture—0
Agentic Reasoning: Reasoning LLMs with Tools for the Deep ResearchCode0
pytopicgram: A library for data extraction and topic modeling from Telegram channelsCode1
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy—0
In-context denoising with one-layer transformers: connections between attention and associative memory retrieval—0
Cross-Encoder Rediscovers a Semantic Variant of BM25—0
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark—0
Counterfactual Query Rewriting to Use Historical Relevance FeedbackCode0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal GenerationCode1
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective—0
A Classification System Approach in Predicting Chinese Censorship—0
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare CopilotCode3
Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System—0
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models—0
Expertized Caption Auto-Enhancement for Video-Text RetrievalCode0
Circuit Diagram Retrieval Based on Hierarchical Circuit Graph Representation—0
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation—0
Large Language Model as Universal Retriever in Industrial-Scale Recommender System—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