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 5401–5425 of 14297 papers

TitleStatusHype
FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference—0
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation—0
FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS—0
Fast Dictionary Matching for Content-based Image Retrieval—0
Cognitive Modeling of Semantic Fluency Using Transformers—0
Frequency Disentangled Residual Network—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents—0
FROG-measurement based phase retrieval for analytic signals—0
From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback—0
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval—0
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting—0
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning—0
HDLdebugger: Streamlining HDL debugging with Large Language Models—0
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track—0
From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models—0
From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation—0
Hierarchical Prototype Learning for Zero-Shot Recognition—0
Compressing Sentence Representation with maximum Coding Rate Reduction—0
From Cooking Recipes to Robot Task Trees -- Improving Planning Correctness and Task Efficiency by Leveraging LLMs with a Knowledge Network—0
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint—0
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching—0
From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)—0
Cognitively Inspired Components for Social Conversational Agents—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