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 3601–3650 of 14297 papers

TitleStatusHype
Gecko: Versatile Text Embeddings Distilled from Large Language Models—0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
Towards a Robust Retrieval-Based Summarization SystemCode0
The Future of Combating Rumors? Retrieval, Discrimination, and Generation—0
Shallow Cross-Encoders for Low-Latency RetrievalCode0
Generating Multi-Aspect Queries for Conversational Search—0
Siamese Vision Transformers are Scalable Audio-visual LearnersCode1
Are Large Language Models Good at Utility Judgments?Code0
MagicLens: Self-Supervised Image Retrieval with Open-Ended InstructionsCode3
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented GenerationCode1
PointCloud-Text Matching: Benchmark Datasets and a Baseline—0
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System—0
CPR: Retrieval Augmented Generation for Copyright Protection—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
Online Embedding Multi-Scale CLIP Features into 3D Maps—0
Improving Attributed Text Generation of Large Language Models via Preference Learning—0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language—0
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos—0
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability—0
Scaling Laws For Dense RetrievalCode0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment—0
LLMs in HCI Data Work: Bridging the Gap Between Information Retrieval and Responsible Research Practices—0
AIR-HLoc: Adaptive Retrieved Images Selection for Efficient Visual Localisation—0
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval—0
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models—0
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval—0
Denoising Table-Text Retrieval for Open-Domain Question AnsweringCode0
TWOLAR: a TWO-step LLM-Augmented distillation method for passage RerankingCode0
The Solution for the CVPR 2023 1st foundation model challenge-Track2—0
Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics—0
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language ModelsCode0
CaseLink: Inductive Graph Learning for Legal Case RetrievalCode1
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed TomographyCode3
Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and MiningCode1
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback—0
Cross-lingual Contextualized Phrase RetrievalCode0
Composed Video Retrieval via Enriched Context and Discriminative EmbeddingsCode2
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code SearchCode0
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification—0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
Coarse-Tuning for Ad-hoc Document Retrieval Using Pre-trained Language Models—0
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval—0
Edit3K: Universal Representation Learning for Video Editing Components—0
Knowledge-Enhanced Dual-stream Zero-shot Composed Image RetrievalCode1
LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented GenerationCode1
Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations—0
Improving Retrieval for RAG based Question Answering Models on Financial Documents—0
QueryExplorer: An Interactive Query Generation Assistant for Search and ExplorationCode0
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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