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 2851–2900 of 14297 papers

TitleStatusHype
A Study on Effect of Reference Knowledge Choice in Generating Technical Content Relevant to SAPPhIRE Model Using Large Language Model—0
LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design—0
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models—0
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering—0
Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search—0
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case ReformulationCode1
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data IngestionCode0
ColPali: Efficient Document Retrieval with Vision Language ModelsCode7
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems—0
PathAlign: A vision-language model for whole slide images in histopathology—0
Development and Evaluation of a Retrieval-Augmented Generation Tool for Creating SAPPhIRE Models of Artificial Systems—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
Learning Retrieval Augmentation for Personalized Dialogue GenerationCode0
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation—0
Efficient course recommendations with T5-based ranking and summarizationCode0
Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders—0
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataCode0
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation—0
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage RetrievalCode0
TrustUQA: A Trustful Framework for Unified Structured Data Question AnsweringCode0
RAVEN: Multitask Retrieval Augmented Vision-Language Learning—0
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationCode1
Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs—0
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models—0
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysisCode1
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Assessing "Implicit" Retrieval Robustness of Large Language Models—0
Evaluating Quality of Answers for Retrieval-Augmented Generation: A Strong LLM Is All You Need—0
The Surprising Effectiveness of Multimodal Large Language Models for Video Moment RetrievalCode2
Multi-step Inference over Unstructured Data—0
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
Poisoned LangChain: Jailbreak LLMs by LangChain—0
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems—0
MLLM as Video Narrator: Mitigating Modality Imbalance in Video Moment Retrieval—0
GraphSnapShot: Caching Local Structure for Fast Graph LearningCode1
Retrieval-style In-Context Learning for Few-shot Hierarchical Text ClassificationCode1
Advancing Question Answering on Handwritten Documents: A State-of-the-Art Recognition-Based Model for HW-SQuAD—0
SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries—0
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling—0
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft—0
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens—0
LumberChunker: Long-Form Narrative Document SegmentationCode2
Enhancing Tool Retrieval with Iterative Feedback from Large Language ModelsCode0
Entropy-Based Decoding for Retrieval-Augmented Large Language ModelsCode0
Retrieval Augmented Instruction Tuning for Open NER with Large Language ModelsCode1
Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial DatasetsCode0
Training-Free Exponential Context Extension via Cascading KV CacheCode0
Gate Recurrent Unit for Efficient Industrial Gas Identification—0
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning—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