Ningning Ding

2 accepted papers

2026

Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness

Xinbao Qiao, Ningning Ding, Yushi Cheng, Meng Zhang

AAAI 2026technical

Machine unlearning, as a post-hoc processing technique, has gained widespread adoption in addressing challenges like bias mitigation and robustness enhancement. However, existing non-privacy unlearning-based solutions persist in using a binary data removal framework designed for privacy-driven motiv

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2026

Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning

Jiahao Zeng, Ming Tang, Ningning Ding

IJCAI 2026

Large language models (LLMs) present a trade-off between performance and cost, where more powerful models incur greater expense. LLM routing aims to mitigate expenses while maintaining performance by sending queries to the most suitable model. However, existing methods cannot perform well for differ

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