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 5401–5450 of 14297 papers

TitleStatusHype
Exploring the Practicality of Generative Retrieval on Dynamic Corpora—0
Towards Better Entity Linking with Multi-View Enhanced DistillationCode1
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph ParsingCode1
Three Towers: Flexible Contrastive Learning with Pretrained Image Models—0
Generating Images with Multimodal Language ModelsCode2
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across LanguagesCode0
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial DocumentsCode0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks—0
AlignScore: Evaluating Factual Consistency with a Unified Alignment FunctionCode4
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation—0
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question AnsweringCode1
Integrating Listwise Ranking into Pairwise-based Image-Text RetrievalCode0
Efficient Decoding of Compositional Structure in Holistic Representations—0
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts—0
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Multiview Identifiers Enhanced Generative RetrievalCode1
Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language model—0
DataFinder: Scientific Dataset Recommendation from Natural Language DescriptionsCode1
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization ModelCode0
Landmark Attention: Random-Access Infinite Context Length for TransformersCode3
Language Models Implement Simple Word2Vec-style Vector ArithmeticCode1
Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language ModelsCode0
Give Me More Details: Improving Fact-Checking with Latent Retrieval—0
ConvGQR: Generative Query Reformulation for Conversational SearchCode1
UFO: Unified Fact Obtaining for Commonsense Question AnsweringCode0
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis—0
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMsCode1
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest NeighborsCode0
Ordered and Binary Speaker Embedding—0
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning—0
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal EncoderCode1
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural LanguageCode1
Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs—0
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems—0
Weakly Supervised Vision-and-Language Pre-training with Relative Representations—0
Lawyer LLaMA Technical ReportCode2
Gorilla: Large Language Model Connected with Massive APIsCode6
Training on Thin Air: Improve Image Classification with Generated DataCode1
Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and BenchmarkCode0
Allies: Prompting Large Language Model with Beam Search—0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
Decomposing Complex Queries for Tip-of-the-tongue Retrieval—0
C-STS: Conditional Semantic Textual SimilarityCode1
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing—0
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4Code0
Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages—0
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering—0
Adapting Language Models to Compress ContextsCode2
KNN-LM Does Not Improve Open-ended Text Generation—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