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 11051–11100 of 14297 papers

TitleStatusHype
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations—0
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models—0
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning—0
Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents—0
FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation—0
FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain—0
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance—0
Firing Rate Models as Associative Memory: Excitatory-Inhibitory Balance for Robust Retrieval—0
First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1—0
First Steps towards the Semi-automatic Development of a Wordformation-based Lexicon of Latin—0
First Token Probability Guided RAG for Telecom Question Answering—0
FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMs—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval—0
FJWU Participation for the WMT21 Biomedical Translation Task—0
FLAME: A small language model for spreadsheet formulas—0
FLAP: Fast Language-Audio Pre-training—0
FlashBack:Efficient Retrieval-Augmented Language Modeling for Long Context Inference—0
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking—0
FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG—0
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research—0
FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval—0
Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization—0
Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-image Retrieval—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations—0
Focused Clinical Query Understanding and Retrieval of Medical Snippets powered through a Healthcare Knowledge Graph—0
Focus! Relevant and Sufficient Context Selection for News Image Captioning—0
Folksonomication: Predicting Tags for Movies from Plot Synopses Using Emotion Flow Encoded Neural Network—0
Follow the Water: Finding Water, Snow and Clouds on Terrestrial Exoplanets with Photometry and Machine Learning—0
FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt—0
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists—0
Food recognition and recipe analysis: integrating visual content, context and external knowledge—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks—0
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval—0
Forgetting leads to chaos in attractor networks—0
Form 10-K Itemization—0
Form 10-Q Itemization—0
Formal Language Knowledge Corpus for Retrieval Augmented Generation—0
Forward and Backward Feature Selection for Query Performance Prediction—0
Foundation Models and Information Retrieval in Digital Pathology—0
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All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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