Paper-Conference

Depth as a Scaling Vector: Simple Pruning and Evaluation of Emergent Abilities in Pruned LLMs
Chang Liu, Arjun Choudhry, Yifu Cai, Nina Żukowska, Mononito Goswami, Artur Dubrawski
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From Aggregation to Guidance: Strategies for Personalized Federated Fine-Tuning of Foundation Models
Mikołaj Piórczy\ʼnski, Wojciech Łapacz, Xinyu Li, Chang Liu, Abby Turner, Artur Dubrawski
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LayerMerge: Modality-Agnostic Depth Pruning for Efficient Foundation Model Deployment
Arjun Choudhry, Chang Liu, Nina Żukowska, Yifu Cai, Mononito Goswami, Artur Dubrawski
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Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection
Chang Liu, Jieshi Chen, Lee H Harrison, Artur Dubrawski
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Improving target-disease association prediction through a graph neural network with credibility information
Chang Liu, Cuinan Yu, Yipin Lei, Kangbo Lyu, Tingzhong Tian, Qianhao Li, Dan Zhao, Fengfeng Zhou, Jianyang Zeng
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