Author

Xiangxiang Dai

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#artificial intelligence Review Oct 2026

Beyond Reward Suppression: Near-Optimal Offline Attacks on Warm-Start Bandits with Bounded Rewards

Adversarial attacks on bandits aim to mislead a learner toward a target arm while keeping the attack cost small. Existing attacks typically achieve this by suppressing non-target arms. In practice, however, manipulation such as fake reviews often directly promotes the target item. We study this gap through bounded offl...

Qi-Run Zeng, Man-Hin Poon, Xiang-Xiang Dai et al. · 0 citations

#artificial intelligence Jun 2026

Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens

This work proposes ASRD (Anchor Supervised Revocable Decoding), a training-free framework that operates within the embedding space and outperforms recent remasking baselines, achieving accuracy improvements of up to 6.4\% while accelerating inference throughput by up to 7.2$\times$.

Yizhen Yao, Qing-Lin Zhu, Runcong Zhao et al. · arXiv.org · 0 citations