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 5201–5250 of 14297 papers

TitleStatusHype
State Soup: In-Context Skill Learning, Retrieval and Mixing—0
Prediction of the Realisation of an Information Need: An EEG Study—0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning—0
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning—0
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling—0
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges—0
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis—0
Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph—0
Benchmarking Vision-Language Contrastive Methods for Medical Representation LearningCode0
Large Language Models are Limited in Out-of-Context Knowledge ReasoningCode0
Scholarly Question Answering using Large Language Models in the NFDI4DataScience GatewayCode0
Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources—0
Text Information Retrieval in Tetun: A Preliminary Study—0
Which Country Is This? Automatic Country Ranking of Street View PhotosCode0
Progress Towards Decoding Visual Imagery via fNIRS—0
Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval—0
RACon: Retrieval-Augmented Simulated Character Locomotion Control—0
TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs—0
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering—0
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval—0
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs—0
Weighted KL-Divergence for Document Ranking Model Refinement—0
Evaluating the Retrieval Component in LLM-Based Question Answering Systems—0
Enhancing Long-Term Memory using Hierarchical Aggregate Tree for Retrieval Augmented Generation—0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?Code0
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents—0
MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model—0
Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval—0
TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models—0
Async Learned User Embeddings for Ads Delivery Optimization—0
Diving Deep into the Motion Representation of Video-Text ModelsCode0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
Corpus Poisoning via Approximate Greedy Gradient DescentCode0
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs BetterCode0
PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance PredictionCode0
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal RecipeCode0
Measuring and Addressing Indexical Bias in Information RetrievalCode0
User Intent Recognition and Semantic Cache Optimization-Based Query Processing Framework using CFLIS and MGR-LAU—0
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval—0
Reducing the climate impact of data portals: a case study—0
Synthesizing Conversations from Unlabeled Documents using Automatic Response Segmentation—0
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential—0
DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks—0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—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