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NeurIPS 2026KoreaKAISTParameter-efficient fine-tuning

PRISM: Principal Subspace Alignment for Parameter-Efficient Fine-Tuning

Anh Tong, Kyowoon Lee, Jaesik Choi

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KoreaParameter-efficient fine-tuning

SaMA: Morpho Adaptation via Asymmetric Expansion of Kronecker Product

An Nguyen, Anh Tong

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026StanfordGoogle DeepmindTilde Research / StanfordTilde ResearchParameter-efficient fine-tuning

PreFT: Prefill-only finetuning for inference efficiency

Andrew Lanpouthakoun, Aryaman Arora, Zhengxuan Wu, Dhruv Pai and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026VinUniversityParameter-efficient fine-tuning

How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape

Long Nguyen-Chi, Quynh Nguyen, Thanh Nguyen Cung, Binh T. Nguyen

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZhejiangNetEase, Inc.Parameter-efficient fine-tuning

Spike-SFT: Selective Parameter Enhancement and Fusion for Efficient Spiking Neural Networks

Xiubo Liang, Jinxing Han, Yuke Li, Haoqi Zhu and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZGCAZhongguancun AcademyTianjinCity University of HongKongParameter-efficient fine-tuning

Riemannian Optimization for Low-Rank Adaptation via Desingularization

Tiancan Feng, Daorui Ding, Fanhua Shang, Xiaoyuan Zhang

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Universität des SaarlandesCISPA Helmholtz Center for InforParameter-efficient fine-tuning

RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning

Muhammad Azeem Lodhi, chao zhou, Rebekka Burkholz

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Guangdong University of TechnoloRIKEN AIPGuangdong Industry PolytechnicParameter-efficient fine-tuning

NoTA: Normalized Tensor Adaptation for Parameter-Efficient Continual Learning

Yunsong Deng, Yuning Qiu, Qibin Zhao, Guoxu Zhou

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Electronic Science and TechnolParameter-efficient fine-tuning

Stabilizing the Dynamic Low-Rank Training

SDLRT stabilizes dynamic low-rank training by reinjecting neglected singular directions via a compensation buffer and adaptive rank feedback, enabling trainable high-compression networks and superior PEFT results.

Zhonghan Xu, Ling Wang, Junhao Chen, Jianwei Zhao and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
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