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Shuang-Yang Xie

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#artificial intelligence Preprint Oct 2026

AMBER: Training Long-Horizon Web Agents through Append-Only Memory

Modern language-model agents increasingly interact with external environments over long-horizon, multi-step trajectories, where the accumulated interaction history can quickly exceed practical context budgets. To ensure reliability, agents must maintain factual information over long horizons, remember execution errors...

Chinmay Savadikar, Zhao-Yu Zhang, Ming-Yu Zhao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling

Virtual clients offer a cost-effective approach to support applications such as A/B testing, recommender system development, and interface evaluation. However, building them requires access to large-scale, semantically faithful, fine-grained online user trajectories. These data are difficult to obtain because proprieta...

Yunan Lu, Shuang-Yang Xie, Meghna Allamudi et al. · 0 citations

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