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 3801–3850 of 14297 papers

TitleStatusHype
WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World ScenarioCode1
A Categorization of Complexity Classes for Information Retrieval and Synthesis Using Natural Logic—0
Corpus-Steered Query Expansion with Large Language ModelsCode1
Grounding Language Models for Visual Entity RecognitionCode1
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport—0
Hierarchical Multimodal Pre-training for Visually Rich Webpage UnderstandingCode1
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented GenerationCode2
Approaching Human-Level Forecasting with Language ModelsCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsCode1
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents—0
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningCode0
Image-Text Matching with Multi-View Attention—0
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question AnsweringCode1
Retrieval is Accurate GenerationCode2
Low-light phase retrieval with implicit generative priors—0
COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt—0
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a SurveyCode1
Multimodal Learned Sparse Retrieval with Probabilistic Expansion ControlCode1
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent SetupCode0
PAQA: Toward ProActive Open-Retrieval Question Answering—0
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language TasksCode0
Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval—0
A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge—0
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval—0
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question AnsweringCode2
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic SupervisionCode0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings—0
Pretrained Visual UncertaintiesCode2
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing—0
From RAGs to riches: Using large language models to write documents for clinical trials—0
Impression-CLIP: Contrastive Shape-Impression Embedding for FontsCode0
Generative Retrieval with Large Language Models—0
Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question AnsweringCode4
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering—0
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions—0
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health RecordsCode1
Gender Biased Legal Case Retrieval System on Users' Decision Process—0
IR2: Information Regularization for Information RetrievalCode0
Citation-Enhanced Generation for LLM-based ChatbotsCode1
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities—0
MultiContrievers: Analysis of Dense Retrieval RepresentationsCode0
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot RetrievalCode1
Universal Model in Online Customer Service—0
Intelligent Director: An Automatic Framework for Dynamic Visual Composition using ChatGPT—0
Self-Retrieval: End-to-End Information Retrieval with One Large Language ModelCode1
Inference for Regression with Variables Generated by AI or Machine Learning—0
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)Code2
Background Denoising for Ptychography via Wigner Distribution Deconvolution—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