Author

Jia-Xin Zhang

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Preprint Aug 2026

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay

This work presents SeqLLM, a framework that adds behavioral-sequence modeling to a pretrained LLM while preserving its language ability, and achieves state-of-the-art results on public recommendation benchmarks.

Gui-Lin Li, Jia-Xin Zhang, Matthias Hwai Yong Tan et al. · 0 citations

Preprint Aug 2026

DuMateBench: Evaluating Autonomous Agents in Complex Real-World Workflows

DuMateBench, a real-session benchmark reconstructed from anonymized and privacy-screened user sessions collected from a large-scale production agent platform, is introduced, showing that performance under environmental perturbations is jointly shaped by the capabilities of the LLM and the surrounding agent framework.

Zechun Niu, Yu-Kun Zhao, Jia-Xin Zhang et al. · 0 citations