6 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
CoCurve: Cross-Module Co-Pruning Curvature for Structured LLM Pruning
Zhiren Gong, Zihao Zeng, Zijie Wang +6
Resource-constrained deployment requires sustaining large language model (LLM) capabilities as models scale under fixed memory and computation budgets. Structured pruning advances…
M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data
Tiantong Wang, Yiyang Duan, Haoyu Chen +2
Training of large-scale models is both computationally intensive and often constrained by the availability of labeled data. Model merging offers a compelling alternative by directl…
MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models
Tiantong Wang, Xinyu Yan, Tiantong Wu +3
Machine unlearning for large language models often faces a privacy dilemma in which strict constraints prohibit sharing either the server's parameters or the client's forget set. T…
SeismoGen: Seismic Waveform Synthesis Using Generative Adversarial Networks
Tiantong Wang, Daniel Trugman, Youzuo Lin
Detecting earthquake events from seismic time series has proved itself a challenging task. Manual detection can be expensive and tedious due to the intensive labor and large scale…