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Hao Zhang

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#artificial intelligence Preprint Sep 2026

How Can Recommendation Feedback Evolve Agent Memory?

Content-generation agents continuously receive impressions, clicks, conversions, and negative feedback from recommendation systems, providing real-world outcome signals for memory evolution. However, these signals are delayed and noisy, confounded by audience composition, placement, and recommendation policies, and may...

Shan-Wen Mao, Ming-Ming Li, Hao Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A Better Spur Should Start From Each Objective

This work proposes Multi-Marginal Preference Optimization (MMPO), a fine-grained framework that intervenes at the data, gradient, and constraint levels rather than relying on coarse-grained global scalarization to address optimization conflicts among multiple objectives in real-world deployment scenarios.

Shang-Wen Mao, Hao Zhang, Guangtao Nie et al. · 1 citation · ⚡1

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