Taha Ceritli
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
5
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | K-Merge: Online Continual Merging of Adapters for On-device Large Language Models. | Donald Shenaj, Ondrej Bohdal, Taha Ceritli, Mete Ozay, Pietro Zanuttigh, Umberto Michieli |
| 2026 | WACV | Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models. | Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas zkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay |
| 2025 | EMNLP | HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. | Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli |
| 2025 | ICASSP | A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. | Savas zkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay |
| 2025 | ICASSP | Hyper-Refinement for Low-Rank Adaptation. | Savas zkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay |
| 2024 | EMNLP | A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. | Taha Ceritli, Savas zkan, Jeongwon Min, Eunchung Noh, Cho Min, Mete Ozay |
| 2022 | ICML | Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. | Taha Ceritli, Andrew P. Creagh, David A. Clifton |