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 3551–3575 of 14297 papers

TitleStatusHype
ABC: Achieving Better Control of Multimodal Embeddings using VLMs—0
U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-HaystackCode0
TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval—0
Passage Query Methods for Retrieval and Reranking in Conversational Agents—0
Fast 3D point clouds retrieval for Large-scale 3D Place Recognition—0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval—0
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval—0
Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
Ext2Gen: Alignment through Unified Extraction and Generation for Robust Retrieval-Augmented Generation—0
Variations in Relevance Judgments and the Shelf Life of Test Collections—0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research—0
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings—0
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers—0
From Retrieval to Generation: Comparing Different Approaches—0
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval—0
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up—0
Granite Embedding Models—0
Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data AugmentationCode0
Do Retrieval-Augmented Language Models Adapt to Varying User Needs?—0
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment—0
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation—0
SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data AugmentationCode0
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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