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Enables models to adapt over time without forgetting in dynamic, evolving environments.
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![]() From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning Nishit Neema Srinjoy Mukherjee Sapan Shah Gokul Ramakrishnan Ganesh Venkatesh | |||
![]() Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning Ruilin Tong Haodong Lu Yuhang Liu Dong Gong | |||
![]() Continual Low-Rank Adapters for LLM-based Generative Recommender Systems Hyunsik Yoo Ting-Wei Li SeongKu Kang Zhining Liu Charlie Xu Qilin Qi Hanghang Tong | |||
![]() Active Learning with Task-Driven Representations for Messy Pools Kianoosh Ashouritaklimi Tom Rainforth | |||
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