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cs.LG2025
Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models
Haidong Kang, Wei Wu, Hanling Wang
Few-shot class incremental learning (FSCIL) is a more realistic and challenging paradigm in continual learning to incrementally learn unseen classes and overcome catastrophic forge…
cs.LG2025
LEMMA: Learning from Errors for MatheMatical Advancement in LLMs
Zhuoshi Pan, Yu Li, Honglin Lin +7
Large language models (LLMs) have demonstrated remarkable reasoning capability in solving mathematical problems. However, existing approaches primarily focus on improving the quali…