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cs.CV2026
Multi-Granularity Language-Guided Imitation Learning via Instruction Decomposition
Yi-Pei Chiu, Wei-Ta Chu
Using language instructions as conditions to guide robot policy learning has recently become an important research domain. However, existing language-guided policy learning methods…
cs.CV2026
Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning
Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu +2
Multi-task learning (MTL) aims to enable a single model to solve multiple tasks efficiently; however, current parameter-efficient fine-tuning (PEFT) methods remain largely limited…