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Yuanzhuo Wang

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#artificial intelligence Review Sep 2026

DynSTEER: Dynamic Stage-wise Trajectory Evaluation and Execution-time Review for Agents

Large language model agents are increasingly deployed for long-horizon task execution, raising a central granularity question for trajectory evaluation: whole-trajectory verification is too coarse to capture concrete failures and their associated evidence in long trajectories, while atomic-step scoring is too fine-grai...

Zhichao Shi, Xuhui Jiang, Wen-Jie Zhang et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Less Is Personal: Learning Minimal Sufficient User Profiles for Personalized Language Models

Retrieval-augmented personalization enables large language models to produce more accurate and preference-aligned outputs using relevant records retrieved from user histories. Personalized language models typically prepend a fixed number of retrieved user records, even when additional history is redundant, harmful, or...

Ming-Hang Liu, Qiang Qiu, Yuan-Zhuo Wang et al. · 0 citations

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