NEURIPS "parameter efficient fine-tuning" Papers

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Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving

Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki et al.

NEURIPS 2025posterarXiv:2510.23346

Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency

Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.

NEURIPS 2025poster

Parameter Efficient Fine-tuning via Explained Variance Adaptation

Fabian Paischer, Lukas Hauzenberger, Thomas Schmied et al.

NEURIPS 2025posterarXiv:2410.07170