--- id: "/foundation-models-labs/expert/page/19/" title: "Foundation models & labs for expert learners · page 19" url: "https://skillissue.dev/foundation-models-labs/expert/page/19/" --- # Foundation models & labs for expert learners [Beginner](/foundation-models-labs/beginner/index.md) [Intermediate](/foundation-models-labs/intermediate/index.md) [Advanced](/foundation-models-labs/advanced/index.md) [Expert](/foundation-models-labs/expert/index.md) 592 resources · page 19 of 19 - ### [LAION-5B: An open large-scale dataset for training next generation image-text models](/lab-practices/other-labs/laion-laion-5b-paper/index.md) by [Christoph Schuhmann et al. (LAION)](https://laion.ai/) arXiv paper (2022) introducing LAION-5B, an open dataset of 5.85 billion image-text pairs. Advanced–Expert learning_resource paper EU-DE en - ### [Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework](/lab-practices/other-labs/nask-polish-vision-language-adaptation-paper/index.md) by [Grzegorz Statkiewicz et al. (NASK National Research Institute)](https://www.nask.pl/) arXiv paper (2026) by NASK on annotation-efficient adaptation of vision-language models to Polish. Advanced–Expert learning_resource paper Poland en - ### [NorwAI's Large Language Models: Technical Report](/lab-practices/other-labs/norwai-ntnu-papers/index.md) by [Jon Atle Gulla et al. (NTNU)](https://www.ntnu.edu/) arXiv paper (2026) technical report on NorwAI's Norwegian large language models. Advanced–Expert learning_resource paper Norway en - ### [GlórIA: A Generative and Open Large Language Model for Portuguese](/lab-practices/other-labs/nova-lincs-gl-ria-paper/index.md) by [Ricardo Lopes et al. (NOVA LINCS, NOVA University Lisbon)](https://nova-lincs.di.fct.unl.pt/) arXiv paper (2024) introducing GlórIA, an open generative language model for European Portuguese. Advanced–Expert learning_resource paper Portugal en - ### [OpenLLM-Ro: Technical Report on Open-source Romanian LLMs](/lab-practices/other-labs/openllm-ro-technical-report/index.md) by [Mihai Masala et al. (National University of Science and Technology POLITEHNICA Bucharest)](https://upb.ro/) arXiv paper (2024) technical report on OpenLLM-Ro, open-source Romanian LLMs. Advanced–Expert learning_resource paper Romania en - ### [Samrómur Milljón: An ASR Corpus of One Million Verified Read Prompts in Icelandic](/lab-practices/other-labs/reykjavik-language-and-voice-lab-papers/index.md) by [Carlos Daniel Hernández Mena et al. (Reykjavik University Language and Voice Lab)](https://lvl.ru.is/) LREC-COLING 2024 paper presenting Samrómur Milljón, an Icelandic ASR corpus of one million validated read prompts. Advanced–Expert learning_resource paper Iceland en - ### [ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget](/lab-practices/other-labs/sapienza-nlp-relik-paper/index.md) by [Riccardo Orlando et al. (Sapienza University of Rome)](https://www.uniroma1.it) arXiv paper (2024) introducing ReLiK, fast entity linking and relation extraction by Sapienza NLP. Advanced–Expert learning_resource paper Italy en - ### [SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following](/lab-practices/other-labs/sardine-sequor-paper/index.md) by [Beatriz Canaverde et al. (Instituto de Telecomunicações)](https://www.it.pt/) arXiv paper (2026) introducing SEQUOR, a multi-turn benchmark for realistic constraint following. Advanced–Expert learning_resource paper Portugal en - ### [Bielik v3 Small: Technical Report](/lab-practices/other-labs/speakleash-bielik-v3-small-paper/index.md) by [Krzysztof Ociepa et al. (SpeakLeash)](https://speakleash.org/) arXiv paper (2025) Bielik v3 Small technical report on SpeakLeash's small Polish language models. Advanced–Expert learning_resource paper Poland en - ### [Apertus: Democratizing Open and Compliant LLMs for Global Language Environments](/lab-practices/other-labs/swiss-ai-initiative-papers/index.md) by [Project Apertus (Swiss AI Initiative)](https://www.swiss-ai.org/) arXiv paper (2025) introducing Apertus, the Swiss AI Initiative's open and compliant multilingual LLMs. Advanced–Expert learning_resource paper Switzerland en - ### [Pretraining Finnish ModernBERTs](/lab-practices/other-labs/turkunlp-papers/index.md) by [Akseli Reunamo et al. (University of Turku)](https://www.utu.fi) arXiv paper (2025) by TurkuNLP on pretraining Finnish ModernBERT encoder models. Advanced–Expert learning_resource paper Finland en - ### [Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian](/lab-practices/other-labs/vikhr-research-paper-v-model-documentation/index.md) by [Aleksandr Nikolich et al. (ITMO University)](https://en.itmo.ru/) arXiv paper (2024) introducing Vikhr, a family of open instruction-tuned Russian language models. Advanced–Expert learning_resource paper CN/RU en - ### [LAION blog](/lab-practices/other-labs/laion-blog/index.md) by [LAION](https://laion.ai/) LAION blog with posts on open datasets, models and research from the non-profit behind LAION-5B. Expert learning_resource blog EU-DE en - ### [Meshy T2: Fast Native Mesh Generation with Flow Matching](/lab-practices/other-labs/meshy-t2-fast-native-mesh-generation-with-flow-matching/index.md) by [Jiale Xu et al. (Meshy)](https://www.meshy.ai/) arXiv paper (2026) describing Meshy T2, fast native mesh generation with flow matching. Expert learning_resource paper United States / Global en - ### [NVIDIA NeMo framework documentation](/lab-practices/other-labs/nvidia-nemo-framework-documentation/index.md) by [NVIDIA](https://www.nvidia.com/) NVIDIA NeMo Framework user guide: training and customising LLMs and multimodal models with parallelism and mixed precision. Expert learning_resource docs US en - ### [Physical Intelligence blog](/lab-practices/other-labs/physical-intelligence-blog/index.md) by [Physical Intelligence](https://pi.website/) Physical Intelligence blog with research posts on its π0 family of robot foundation models. Expert learning_resource blog West en [Previous page](/foundation-models-labs/expert/page/18/index.md) [Plain-text Markdown copy](/foundation-models-labs/expert/page/19/index.md)