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cs.CL2025
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
Yupu Hao, Pengfei Cao, Zhuoran Jin +4
Personalized tool utilization is essential for aligning large language models (LLMs) with user preference in interaction scenarios with various tools. However, most of the current…
cs.LG2025
DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
Huanxuan Liao, Shizhu He, Yupu Hao +2
Continual learning (CL) is essential for Large Language Models (LLMs) to adapt to evolving real-world demands, yet they are susceptible to catastrophic forgetting (CF). While tradi…