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

Showing 1100111050 of 14297 papers

TitleStatusHype
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering0
Fidelity-Weighted Learning0
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation0
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference0
Field-portable quantitative lensless microscopy based on translated speckle illumination and sub-sampled ptychographic phase retrieval0
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation0
Filtering Aggression from the Multilingual Social Media Feed0
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA0
Financial Analysis: Intelligent Financial Data Analysis System Based on LLM-RAG0
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator0
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models0
Findability: A Novel Measure of Information Accessibility0
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries0
FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation0
FIND: Fine-grained Information Density Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis0
Finding Academic Experts on a MultiSensor Approach using Shannon's Entropy0
Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking0
Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval0
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure0
Finding Inverse Document Frequency Information in BERT0
Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval0
Finding Salient Context based on Semantic Matching for Relevance Ranking0
Finding Similar Exercises in Retrieval Manner0
Finding Similar Medical Questions from Question Answering Websites0
Findings of the 2014 Workshop on Statistical Machine Translation0
Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications0
Find The Gap: Knowledge Base Reasoning For Visual Question Answering0
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization0
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models0
Fine-Grain Annotation of Cricket Videos0
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings0
Fine-Grained Distillation for Long Document Retrieval0
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation0
Fine-grained Hallucination Detection and Editing for Language Models0
Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval0
Fine-Grained Image Analysis with Deep Learning: A Survey0
Fine-grained Image Retrieval via Dual-Vision Adaptation0
Fine-Grained Instance-Level Sketch-Based Video Retrieval0
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering0
Fine-grained Retrieval Prompt Tuning0
Fine-Grained Sentence Functions for Short-Text Conversation0
Fine-grained Text-Video Retrieval with Frozen Image Encoders0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval0
CLAREL: Classification via retrieval loss for zero-shot learning0
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text0
Fine-tuning and aligning question answering models for complex information extraction tasks0
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing0
Fine-tuning Language Models for Factuality0
Show:102550
← PrevPage 221 of 286Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified