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Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro. Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014). 2014. word sense disambiguationsemantic modelsunibacombiningdistributional https://www.datacamp.com/sv/blog/what-are-power-bi-semantic-models What are Power BI Semantic Models? | DataCamp Learn about semantic models in Power BI, their components, modes, and best practices to create and manage them. power bisemantic modelsdatacamp https://www.datacamp.com/pl/blog/what-are-power-bi-semantic-models What are Power BI Semantic Models? | DataCamp Learn about semantic models in Power BI, their components, modes, and best practices to create and manage them. power bisemantic modelsdatacamp https://aclanthology.org/S14-1020/ Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models -... Gabriella Lapesa, Stefan Evert, Sabine Schulte im Walde. Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014). 2014. contrastingsyntagmaticparadigmaticrelationsinsights https://openreview.net/forum?id=uEdE2AJn2D ACES: generating diverse programming puzzles with autotelic language models and semantic... Finding and selecting new and interesting problems to solve is at the heart of curiosity, science and innovation. We here study automated problem generation in... language modelsacesgeneratingdiverseprogramming https://www.deeplearning.ai/short-courses/large-language-models-semantic-search Large Language Models with Semantic Search - DeepLearning.AI Learn to use LLMs to enhance search and summarize results. Boost keyword search with Cohere Rerank and leverage embeddings for powerful NLP. large language modelssemantic searchdeeplearningai https://aclanthology.org/2024.lrec-main.878/ Language Models and Semantic Relations: A Dual Relationship - ACL Anthology Olivier Ferret. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024. language modelsdual relationshipsemanticaclanthology https://www.pluralsight.com/courses/microsoft-fabric-analytics-engineer-semantic-models-cert Microsoft Fabric Analytics Engineer: Implement and Manage Semantic Models microsoft fabricanalytics engineerimplementmanagesemantic https://aclanthology.org/2025.wraicogs-1.6/ Decoding Semantic Representations in the Brain Under Language Stimuli with Large Language Models -... Anna Sato, Ichiro Kobayashi. Proceedings of the First Workshop on Writing Aids at the Crossroads of AI, Cognitive Science and NLP (WRAICOGS 2025). 2025. in the brain https://openreview.net/forum?id=PUDr24TNKb&referrer=%5Bthe%20profile%20of%20Adheesh%20Sunil%20Juvekar%5D(%2Fprofile%3Fid%3D~Adheesh_Sunil_Juvekar1) CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models | OpenReview Recent advances in Large Vision-Language Models (LVLMs) have sparked significant progress in general-purpose vision tasks through visual instruction tuning.... vision language models https://aclanthology.org/E06-1026/ Latent Variable Models for Semantic Orientations of Phrases - ACL Anthology Hiroya Takamura, Takashi Inui, Manabu Okumura. 11th Conference of the European Chapter of the Association for Computational Linguistics. 2006. latent variablemodelssemanticorientationsphrases https://huggingface.co/papers/2509.14882 Paper page - Llama-Mimi: Speech Language Models with Interleaved Semantic and Acoustic Tokens Join the discussion on this paper page https://openreview.net/forum?id=3i6X1618wi Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems | OpenReview Transfer learning for DNN based segmentation between illnesses by learning generative prior in conv-filter space is better than pretrain. generative modelsknowledge transfer https://deepai.org/publication/compressing-transformer-based-semantic-parsing-models-using-compositional-code-embeddings Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings | DeepAI Oct 10, 2020 - 10/10/20 - The current state-of-the-art task-oriented semantic parsing models use BERT or RoBERTa as pretrained encoders; these models have h... semantic parsingcompressingtransformerbased https://arxiv.org/abs/2509.05925v1 [2509.05925v1] Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models Abstract page for arXiv paper 2509.05925v1: Compression Beyond Pixels: Semantic Compression with Multimodal Foundation Models 2509compressionbeyondpixelssemantic