Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Modelsby Zheng Zhao,…
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentationby Yongheng Sun, Mingxia Liu, Chunfeng…
STTATTS: Unified Speech-To-Text And Text-To-Speech Modelby Hawau Olamide Toyin, Hao Li, Hanan AldarmakiFirst submitted to…
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Mergingby Ke Wang, Nikolaos Dimitriadis, Alessandro…
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliariesby Olivier Graffeuille, Yun Sing Koh, Joerg…
MIRA: A Method of Federated MultI-Task Learning for LaRge LAnguage Modelsby Ahmed Elbakary, Chaouki Ben…
Dual-Label Learning With Irregularly Present Labelsby Mingqian Li, Qiao Han, Yiteng Zhai, Ruifeng Li, Yao…
Hierarchical Conditional Multi-Task Learning for Streamflow Modelingby Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh,…
Transformers Utilization in Chart Understanding: A Review of Recent Advances & Future Trendsby Mirna Al-Shetairy,…
MoR: Mixture of Ranks for Low-Rank Adaptation Tuningby Chuanyu Tang, Yilong Chen, Zhenyu Zhang, Junyuan…