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https://www.tensorflow.org/hub/tutorials/cropnet_on_device?authuser=5 Fine tuning models for plant disease detection | TensorFlow Hub fine tuning models plant disease detection tensorflow hub https://openreview.net/forum?id=CLTEaA2mtC Shaping Fine-Tuning of Geospatial Foundation Models: Effects of Label Availability and Temporal... Fine-tuning foundation models is a key step in adapting them to a particular task. In the case of Geospatial Foundation Models (GFMs), fine-tuning can be... fine tuning foundation models https://deepai.org/publication/lora-fa-memory-efficient-low-rank-adaptation-for-large-language-models-fine-tuning LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning | DeepAI Aug 7, 2023 - 08/07/23 - The low-rank adaptation (LoRA) method can largely reduce the amount of trainable parameters for fine-tuning large language models ... https://deepai.org/publication/sampling-strategy-for-fine-tuning-segmentation-models-to-crisis-area-under-scarcity-of-data Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data | DeepAI Feb 9, 2022 - 02/09/22 - The use of remote sensing in humanitarian crisis response missions is well-established and has proven relevant repeatedly. One of ... https://openreview.net/forum?id=x4-czw5UxFX&referrer=%5Bthe%20profile%20of%20Rebecca%20Roelofs%5D(%2Fprofile%3Fid%3D~Rebecca_Roelofs1) Robust fine-tuning of zero-shot models | OpenReview We propose WiSE-FT, a method for fine-tuning zero-shot models that improves out-of-distribution accuracy. fine tuning zero shot robust models openreview https://openreview.net/forum?id=vOtEFcKIi5&referrer=%5Bthe%20profile%20of%20Raghav%20Singhal%5D(%2Fprofile%3Fid%3D~Raghav_Singhal2) FedEx-LoRA: Exact Aggregation for Federated Parameter-Efficient Fine-Tuning of Foundation Models |... Low-Rank Adaptation (LoRA) is a popular technique for efficient fine-tuning of foundation models. However, applying LoRA in federated learning environments,... https://aclanthology.org/2022.insights-1.20/ Pathologies of Pre-trained Language Models in Few-shot Fine-tuning - ACL Anthology Hanjie Chen, Guoqing Zheng, Ahmed Awadallah, Yangfeng Ji. Proceedings of the Third Workshop on Insights from Negative Results in NLP. 2022. https://aclanthology.org/2025.coling-main.265/ Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace - ACL... Jia-Chen Zhang, Yu-Jie Xiong, Chun-Ming Xia, Dong-Hai Zhu, Xi-He Qiu. Proceedings of the 31st International Conference on Computational Linguistics. 2025. large language models https://arxiv.org/abs/2502.15895 [2502.15895] Directional Gradient Projection for Robust Fine-Tuning of Foundation Models Abstract page for arXiv paper 2502.15895: Directional Gradient Projection for Robust Fine-Tuning of Foundation Models https://wandb.ai/a-sh0ts/medical-data-extraction-oai-ft-test/reports/Automated-medical-note-generation-Fine-tuning-GPT-models-for-clinical-documentation-using-Azure-OpenAI-and-Weights-Biases--VmlldzoxMDE0MzE0NA Automated medical note generation: Fine-tuning GPT models for clinical documentation using Azure... https://aclanthology.org/2021.findings-emnlp.169/ Span Fine-tuning for Pre-trained Language Models - ACL Anthology Rongzhou Bao, Zhuosheng Zhang, Hai Zhao. Findings of the Association for Computational Linguistics: EMNLP 2021. 2021. fine tuning language models span pre trained https://openreview.net/forum?id=TcCorXxNJQ FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations |... The rapid development of Large Language Models (LLMs) has been pivotal in advancing AI, with pre-trained LLMs being adaptable to diverse downstream tasks... large language models fine tuning https://openreview.net/forum?id=puG85ij5tq&referrer=%5Bthe%20profile%20of%20Daoyuan%20Chen%5D(%2Fprofile%3Fid%3D~Daoyuan_Chen1) Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client... Federated Learning (FL) has recently been applied to the parameter-efficient fine-tuning of Large Language Models (LLMs). While promising, it raises... large language models fine tuning https://aclanthology.org/2025.naacl-long.527/ Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions - ACL... Moran Yanuka, Assaf Ben-Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the... https://huggingface.co/papers/2405.10292 Paper page - Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement... Join the discussion on this paper page https://www.amazon.science/publications/neural-architecture-search-for-parameter-efficient-fine-tuning-of-large-pre-trained-language-models Neural architecture search for parameter-efficient fine-tuning of large pre-trained language models... Parameter-efficient tuning (PET) methods fit pre-trained language models (PLMs) to downstream tasks by either computing a small compressed update for a subset... neural architecture search https://openreview.net/forum?id=4VAGvX5a9l Sparse Gradient Compression for Fine-Tuning Large Language Models | OpenReview Fine-tuning large language models (LLMs) for downstream tasks has become increasingly crucial due to their widespread use and the growing availability of... large language models compression for fine tuning sparse gradient https://openreview.net/forum?id=jSxU7ZGe3B&referrer=%5Bthe%20profile%20of%20Eric%20Schulz%5D(%2Fprofile%3Fid%3D~Eric_Schulz1) Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models |... Pre-trained vision language models still fall short of human visual cognition. In an effort to improve visual cognition and align models with human behavior,... https://www.thoughtworks.com/en-sg/radar/techniques/fine-tuning-embedding-models Fine-tuning embedding models | Technology Radar | Thoughtworks Singapore When building LLM applications based on retrieval-augmented generation (RAG), the quality of embeddings directly impacts both retrieval of the relevant... fine tuning embedding models technology radar thoughtworks singapore