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 6251–6300 of 14297 papers

TitleStatusHype
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
Multi-queue Momentum Contrast for Microvideo-Product RetrievalCode1
Multi-hop Evidence Retrieval for Cross-document Relation ExtractionCode1
Parallel Context Windows for Large Language ModelsCode1
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval—0
ALCAP: Alignment-Augmented Music CaptionerCode0
Multi-modal Molecule Structure-text Model for Text-based Retrieval and EditingCode2
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image GeneratorsCode0
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 SurprisalCode0
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific DocumentsCode0
Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection—0
Generation-Augmented Query Expansion For Code Retrieval—0
Domain Generalization with Correlated Style UncertaintyCode0
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept RelationshipsCode0
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters—0
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric MemoriesCode1
Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification—0
What Are You Token About? Dense Retrieval as Distributions Over the VocabularyCode0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach—0
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering—0
Adam: Dense Retrieval Distillation with Adaptive Dark Examples—0
When Do Decompositions Help for Machine Reading?—0
Fine-Grained Distillation for Long Document Retrieval—0
Precise Zero-Shot Dense Retrieval without Relevance LabelsCode2
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval—0
Data Curation Alone Can Stabilize In-context LearningCode1
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsCode2
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic MistakesCode1
Rethinking Label Smoothing on Multi-hop Question AnsweringCode0
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint ModelingCode0
Cross-Lingual Retrieval Augmented Prompt for Low-Resource LanguagesCode0
MetaCLUE: Towards Comprehensive Visual Metaphors Research—0
One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsCode4
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension—0
Position-guided Text Prompt for Vision-Language Pre-trainingCode1
Query-as-context Pre-training for Dense Passage RetrievalCode1
DSI++: Updating Transformer Memory with New Documents—0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelCode1
Efficient Image Captioning for Edge Devices—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering—0
PolQA: Polish Question Answering Dataset—0
Hyperbolic Hierarchical Contrastive Hashing—0
RISE: Leveraging Retrieval Techniques for Summarization Evaluation—0
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data AugmentationCode0
Attentive Mask CLIPCode1
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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