https://huggingface.co/papers/2505.22704
Paper page - Training Language Models to Generate Quality Code with Program Analysis Feedback
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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
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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
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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