lora adaptor on roberta results - SERP Analysis

https://predibase.com/blog/5-reasons-why-lora-adapters-are-the-future-of-fine-tuning

https://huggingface.co/blog/Lora-for-sequence-classification-with-Roberta-Llama-Mistral

https://medium.com/%40shelikohan/low-rank-adapter-lora-explained-0d3677395639

https://dataloop.ai/library/model/gauneg_roberta-large-absa-ate-sentiment-lora-adapter/

https://github.com/huggingface/peft/issues/2270

https://towardsdatascience.com/dive-into-lora-adapters-38f4da488ede/

https://anirbansen2709.medium.com/finetuning-llms-using-lora-77fb02cbbc48

https://cameronrwolfe.substack.com/p/easily-train-a-specialized-llm-peft

https://github.com/jxhe/unify-parameter-efficient-tuning/issues/16

https://huggingface.co/gauneg/roberta-large-absa-ate-sentiment-lora-adapter

https://docs.adapterhub.ml/classes/models/roberta.html

https://zilliz.com/learn/lora-explained-low-rank-adaptation-for-fine-tuning-llms

https://towardsdatascience.com/an-overview-of-the-lora-family-515d81134725/

https://kaggle.com/competitions/deep-learning-spring-2025-project-2

https://www.entrypointai.com/blog/lora-fine-tuning/

https://arxiv.org/html/2409.02346v1

https://aclanthology.org/2025.coling-main.371.pdf

https://coralogix.com/ai-blog/low-rank-adaptation-a-closer-look-at-lora/

https://raghavsinghal10.github.io/fedex-lora_page/

https://openreview.net/forum?id=RbKThNNFxr

https://arxiv.org/html/2505.15443v1

https://openreview.net/forum?id=U3UtvOYMiw

https://www.microsoft.com/en-us/research/publication/lora-low-rank-adaptation-of-large-language-models/

https://adapterhub.ml/blog/2022/09/updates-in-adapter-transformers-v3-1/

https://www.kaggle.com/code/anthonynam/lora-fine-tuning-with-roberta-daigt-v2

https://wrap.warwick.ac.uk/id/eprint/187933/1/2024.semeval-1.38.pdf

https://aclanthology.org/2023.findings-acl.799.pdf

https://nebius.com/blog/posts/fine-tuning/lora-low-rank-adaptation

https://pmc.ncbi.nlm.nih.gov/articles/PMC11068208/

https://keras.io/examples/nlp/parameter_efficient_finetuning_of_gpt2_with_lora/

https://web.ece.ucsb.edu/~zhengzhang/conf/2024_NAACL_LoRETTA.pdf

https://ceur-ws.org/Vol-3878/102_main_long.pdf

https://docs.vllm.ai/en/v0.7.0/models/supported_models.html

https://msmu.primo.exlibrisgroup.com/discovery/fulldisplay?docid=cdi_proquest_journals_3090986879&context=PC&vid=01MSMC_INST:01MSMC_INST&lang=en&search_scope=MyInst_and_CI&adaptor=Primo%20Central&tab=Everything&query=sub%2Cequals%2CRoberta%2CAND&mode=advanced&offset=30

https://www.mdpi.com/2076-3417/15/6/3087

https://synthesis.ai/2024/08/13/fine-tuning-llms-rlhf-lora-and-instruction-tuning/

https://www.medrxiv.org/content/10.1101/2023.11.28.23299150v4.full.pdf

https://paperswithcode.com/paper/adue-improving-uncertainty-estimation-head

https://martin-dittgen.de/blogpost/lora-from-scatch.html

https://www.researchgate.net/publication/389717733_LORACODE_LORA_ADAPTERS_FOR_CODE_EMBEDDINGS

https://aicompetence.org/top-lora-tips-to-fine-tune-llms-efficiently/

https://pub.towardsai.net/low-rank-adaptation-lora-from-intuition-to-implementation-to-interview-questions-1461c6a81615

https://www.signalpop.com/2024/01/28/understanding-llm-fine-tuning-with-low-rank-adaptation-lora/

https://stackoverflow.com/questions/77491934/is-this-right-way-to-merge-lora-weights

https://dl.acm.org/doi/10.5555/3692070.3692782

https://www.youtube.com/watch?v=A-a-l_sFtYM&pp=ygUGI3dsb3Jh

https://www.analyticsvidhya.com/blog/2023/04/training-an-adapter-for-roberta-model-for-sequence-classification-task/

https://blog.cloudflare.com/fine-tuned-inference-with-loras/

https://wandb.ai/data-centric-solutions/huggingface/reports/Report-for-Finetuning-RoBERTa-with-LoRA--Vmlldzo0OTk5ODIy?accessToken=ln4e59hd2rb11n5v9e9ti0dkql7ebpt553y3rfyhgel0h6kbc6n6czrl5uguxb6g

https://www.youtube.com/watch?v=8N9L-XK1eEU&pp=0gcJCdgAo7VqN5tD

https://docs.vllm.ai/en/latest/models/lora.html

https://www.youtube.com/watch?v=hwounCHi9zQ