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https://huggingface.co/papers/2505.22704 Paper page - Training Language Models to Generate Quality Code with Program Analysis Feedback Join the discussion on this paper page training language models https://aclanthology.org/2021.naacl-industry.35/ Training Language Models under Resource Constraints for Adversarial Advertisement Detection - ACL... Eshwar Shamanna Girishekar, Shiv Surya, Nishant Nikhil, Dyut Kumar Sil, Sumit Negi, Aruna Rajan. Proceedings of the 2021 Conference of the North American... training language modelsresource constraints https://huggingface.co/papers/2502.04463 Paper page - Training Language Models to Reason Efficiently Join the discussion on this paper page training language modelspaperreasonefficiently https://openreview.net/forum?id=zBh79GuLNO Self-Training Language Models in Arithmetic Reasoning | OpenReview Recent works show the impressive effectiveness of an agent framework in solving problems with language models. In this work, we apply two key features from the... training language modelsselfarithmeticreasoningopenreview https://deepai.org/publication/population-expansion-for-training-language-models-with-private-federated-learning Population Expansion for Training Language Models with Private Federated Learning | DeepAI Jul 14, 2023 - 07/14/23 - Federated learning (FL) combined with differential privacy (DP) offers machine learning (ML) training with distributed devices and... training language modelspopulation expansionfederated learning https://buymeacoffee.com/edoardofederici Edoardo Federici is training Language Models - Buymeacoffee Hey there! I'm a student working on training llms. If you've found my work helpful, consider buying me a coffee to show your support! Your contributions will... training language modelsedoardofedericibuymeacoffee https://huggingface.co/papers/2310.02226 Paper page - Think before you speak: Training Language Models With Pause Tokens Join the discussion on this paper page think before you speaktraining language models https://openreview.net/forum?id=5FUmGAZZ5w Assessing Robustness to Spurious Correlations in Post-Training Language Models | OpenReview Supervised and preference-based fine-tuning techniques have become popular for aligning large language models (LLMs) with user intent and correctness criteria.... training language modelsspurious correlationsassessingrobustness https://openreview.net/forum?id=TG8KACxEON&referrer=%5Bthe%20profile%20of%20John%20Schulman%5D(%2Fprofile%3Fid%3D~John_Schulman1) Training language models to follow instructions with human feedback | OpenReview We fine-tune GPT-3 using data collected from human labelers. The resulting model, called InstructGPT, outperforms GPT-3 on a range of NLP tasks. training language modelsto followinstructionshumanfeedback https://openreview.net/forum?id=tFhNhTGD6b&referrer=%5Bthe%20profile%20of%20Huizi%20Mao%5D(%2Fprofile%3Fid%3D~Huizi_Mao1) VILA: On Pre-training for Visual Language Models | OpenReview Visual language models (VLMs) rapidly progressed with the recent success of large language models. There have been growing efforts on visual instruction tuning... visual language modelspre trainingvilaopenreview https://openreview.net/forum?id=ewQlC1ZpWi Symmetric Dot-Product Attention for Efficient Training of BERT Language Models | OpenReview Initially introduced as a machine translation model, the Transformer architecture has now become the foundation for modern deep learning architecture, with... dot product attention https://github.com/soketlabs/coom GitHub - soketlabs/coom: A training framework for large-scale language models based on... A training framework for large-scale language models based on Megatron-Core, the COOM Training Framework is designed to efficiently handle extensive model... large scale language models https://www.jmir.org/2025/1/e59435/metrics Journal of Medical Internet Research - Application of Large Language Models in Medical Training... Background: With the increasing interest in the application of large language models (LLMs) in the medical field, the feasibility of its potential use as a... large language modelsjournal ofinternet researchmedical