|
| 1 | +@inproceedings{liu2025depth, |
| 2 | + title={Depth as a Scaling Vector: Simple Pruning and Evaluation of Emergent Abilities in Pruned LLMs}, |
| 3 | + author={Liu, Chang and Choudhry, Arjun and Cai, Yifu and {\.Z}ukowska, Nina and Goswami, Mononito and Dubrawski, Artur}, |
| 4 | + booktitle={NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling} |
| 5 | +} |
| 6 | +@inproceedings{choudhry2025layermerge, |
| 7 | + title={LayerMerge: Modality-Agnostic Depth Pruning for Efficient Foundation Model Deployment}, |
| 8 | + author={Choudhry, Arjun and Liu, Chang and {\.Z}ukowska, Nina and Cai, Yifu and Goswami, Mononito and Dubrawski, Artur}, |
| 9 | + booktitle={NeurIPS 2025 Workshop on Efficient Reasoning} |
| 10 | +} |
| 11 | +@inproceedings{piorczynskiaggregation, |
| 12 | + title={From Aggregation to Guidance: Strategies for Personalized Federated Fine-Tuning of Foundation Models}, |
| 13 | + author={Pi{\'o}rczy{\'n}ski, Miko{\l}aj and {\L}apacz, Wojciech and Li, Xinyu and Liu, Chang and Turner, Abby and Dubrawski, Artur}, |
| 14 | + booktitle={UniReps: 3rd Edition of the Workshop on Unifying Representations in Neural Models} |
| 15 | +} |
| 16 | +@inproceedings{liu2025bridging, |
| 17 | + title={Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection}, |
| 18 | + author={Liu, Chang and Chen, Jieshi and Harrison, Lee H and Dubrawski, Artur}, |
| 19 | + booktitle={Conference on Health, Inference, and Learning}, |
| 20 | + pages={557--572}, |
| 21 | + year={2025}, |
| 22 | + organization={PMLR} |
| 23 | +} |
0 commit comments