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Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following2026 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access
Niklas Scholz, David Thulke, Abdallah Nasir, Will Allred, Evgeny Matusov, Hermann Ney
0citations -
Unconsciously Forget: Mitigating Memorization; Without Knowing What is being Memorized2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access
Yang Zhang, Yongli Mou, Yanfei Dong, Stefan Decker, Kenji Kawaguchi, Johannes Stegmaier
0citations -
Clustering-based Domain-Incremental Learning2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Bäck, Paris V. Giampouras
20citations -
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation2023 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, +1 more
5citations -
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Yujie Li, Xiangkun Wang, Xin Yang, Marcello Bonsangue, Junbo Zhang, Tianrui Li
1citations -
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects2025 Medical Image Analysis article Computer Science Domain Adaptation and Few-Shot Learning Open access
Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof
26citations -
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof
2citations -
Assessment of Simulated Data for Training Semantic Segmentation-based Perception Models in Construction2025 Procedia Computer Science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Jorge Luis Jiménez Aparicio, David Böken, Johannes Sprink, Xiaoting Wang, Jürgen Roßmann
0citations