2 papers
cs.CL2026
MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning
Ruilin Tong, Dong Gong
Large language models (LLMs) increasingly improve their reasoning at test time via additional computation, yet most existing works treat each problem in isolation. When problems ar…
cs.LG2025
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Ruilin Tong, Haodong Lu, Yuhang Liu +1
Continual learning (CL) aims to incrementally train a model on a sequence of tasks while retaining performance on prior ones. However, storing and replaying data is often infeasibl…