ICLR "parameter-efficient fine-tuning" Papers
10 papers found
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.
ICLR 2025poster
Fine-tuning with Reserved Majority for Noise Reduction
Shuyang Jiang, Yusheng Liao, Ya Zhang et al.
ICLR 2025poster
2
citations
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia et al.
ICLR 2025posterarXiv:2411.05877
8
citations
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
Minyoung Kim, Timothy Hospedales
ICLR 2025poster
1
citations
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.
ICLR 2025posterarXiv:2501.16559
6
citations
Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs
Qi Wu, Yubo Zhao, Yifan Wang et al.
ICLR 2025posterarXiv:2405.17013
30
citations
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo, Sol Namkung, SunWoo Lee et al.
ICLR 2025posterarXiv:2503.01905
3
citations
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun et al.
ICLR 2025posterarXiv:2410.10870
3
citations
RaSA: Rank-Sharing Low-Rank Adaptation
Zhiwei He, Zhaopeng Tu, Xing Wang et al.
ICLR 2025posterarXiv:2503.12576
4
citations
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish et al.
ICLR 2025posterarXiv:2406.16257
22
citations