paper
referenced-only
2022
paper:j-lora-low-rank-adaptation-of-large-langua-2022LoRA: Low-rank adaptation of large language models
ByE. J. Hu·Y. Shen·P. Wallis·Z. Allen-Zhu·Y. Li·S. Wang+2 more
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
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- ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAsNataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani Viraj Shah2026≈ 78%
- A Survey of Large Language ModelsKun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie and Ji-Rong Wen Wayne Xin Zhao2026≈ 78%
- Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion RecognitionXikun Lu, Jinqiu Sang, Xianquan Jiang, Ruizhe Li Yujian Ma2026≈ 78%
- MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-TuningMher Safaryan, Dan Alistarh Ionut-Vlad Modoranu2026≈ 77%
- Maistros: A Greek Large Language Model Adapted Through Knowledge Distillation From Large Reasoning ModelsCharalampos Mastrokostas, Nikos Karacapilidis Nikolaos Giarelis2026≈ 76%
- Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated ProbabilitiesSathvik Nair and Colin Phillips2026≈ 76%
- A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You NeedYanbo Zhang, Benedikt Hartl, Michael Levin Hananel Hazan2026≈ 76%
- Low-Rank Adapters Initialization via Gradient Surgery for Continual LearningRamiro N. Barros, Arthur S. Bianchessi, Vin\'icius Conte Turani, Jo\~ao Vitor Boer Abitante, Rafaela Cappelari Ravazio, Christian Mattjie, Ot\'avio Parraga, Lucas S. Kupssinsk\"u, Rodrigo C. Barros Joana Pasquali2026≈ 76%
- Small Language Models are the Future of Agentic AIGreg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov Peter Belcak2025≈ 76%
- Exploring Geographic Relative Space in Large Language Models through Activation PatchingRahul Baiju, Stefano Mizzaro, Kevin Roitero Stef De Sabbata2026≈ 76%
- Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention DynamicsLouis Hernandez and Matthieu Boussard Hugo Koubbi2026≈ 75%
- JumpLoRA: Sparse Adapters for Continual Learning in Large Language ModelsIoana Pintilie, Antonio Barbalau, Marius Dragoi, Florin Brad, Cristian Daniel Paduraru, Alexandru Tifrea, Elena Burceanu, Radu Tudor Ionescu Alexandra Dragomir2026≈ 75%
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- Model Alignment Searchin corpus2025≈ 69%
- Interpreting Language Model Parametersin corpus2026≈ 69%
- The Platonic Representation Hypothesisin corpus2024≈ 68%
- Open Character Training: Shaping the Persona of AI Assistants through Constitutional AIin corpus2025≈ 68%
- The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasetsin corpus2023≈ 68%
- Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencodersin corpus2026≈ 68%
- ≈ 67%
- What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectorsin corpus2026≈ 67%
- Evaluating Language Model Character Traitsin corpus2024≈ 67%
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