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Creators/Authors contains: "Qiu, Jiabao"

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  1. ; ; (, The 31st International Conference on Computational Linguistics (COLING-2025))
    We introduce CLOB, a novel continual learning (CL) paradigm wherein a large language model (LLM) is regarded as a black box. Learning is done incrementally via only verbal prompting. CLOB does not fine-tune any part of the LLM or add any trainable parameters to it. It is particularly suitable for LLMs that are accessible via APIs. We also propose a new CL technique, called CIS, based on incremental summarization that also overcomes the LLM’s input length limit. Experiments show CIS outperforms baselines by a very large margin. 
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    Free, publicly-accessible full text available January 19, 2026