AlgoEvo is introduced, a unified agentic architecture that transforms automated algorithm discovery into an interactive, knowledge-accumulating process, demonstrating strong intra-task accumulation, cross-task transfer, and the ability to reproduce or exceed the strongest existing methods through flexible skill activat...
Jun-Hao Qiu, Qing-Long Hu, Ji Cheng et al.· 1 citation
Verifying LLM-generated answers under a shared computational budget requires jointly deciding which candidates to inspect and which verification attributes to evaluate. We formulate this problem as multi-attribute good-arm identification under a global budget: each candidate is an arm evaluated along several costly att...
Bo Xue, Ji Cheng, Shen-Huan Lyu et al.· 0 citations
This work proposes leveraging evolution strategies (ESs), a class of specialized black-box optimization algorithms, within the PSL paradigm, by encapsulating the dependencies within a neural network, which is then trained using a novel gradient estimation method.
Chengyu Lu, Zhenhua Li, Xi Lin et al.· Neural Information Processin...· 0 citations
Lookahead Optimization for Rehearsal (LOR) is introduced, establishing a new and more robust paradigm for rehearsal-based OCIL and significantly out-performs state-of-the-art methods.
Song Lai, Zhe Zhao, Fei Zhu et al.· 0 citations
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