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Preprint Aug 2026

PushDualGen: Enabling LLMs to Generate Semantic IDs with Interpretable Copy for Industrial Push Recommendation

Push recommendation in KuaiShou proactively delivers personalized content to nearly one billion users to facilitate their engagement. Recently, generative recommendation has achieved end-to-end user personalization through semantic ID. However, their black- box characteristics make recommendation logics difficult to tr...

Manjia Lin, Da Li, Yan Wang et al. · 0 citations
#machine learning Preprint Sep 2026

Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

A causal-abstraction-based audit instrument for efficiently evaluating fairness under interventions on the classifier-free guidance scale is proposed and experiments evaluate distributional fidelity, fairness-query accuracy, and computational efficiency.

Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, De-Peng Xu et al. · 0 citations

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