Author

Jun-Wei Zhou

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#artificial intelligence Preprint Aug 2026

R$^2$A: Learning Persona Policies Through Persona Representation Learning and Runtime Alignment

Across 12 evaluation settings covering the four principles of the Accountable-Professional Persona studied in this work, R$^2$A overall outperforms both the base model and static Persona elicitation and results show that Persona Representation Learning is critical for preventing Runtime Alignment from producing behaviorally imbalanced policies and for achieving more stable Persona policy learning.

Mo-Han Zhang, Chengsong You, Xiao-Yu Cao et al. · 0 citations

Preprint Aug 2026

ProRetrieval: Learning to Orchestrate Hybrid Search via Executable Program Synthesis

This work proposes ProRetrieval, which recasts the language model as a retrieval orchestrator: given a natural-language query, it synthesizes an executable program in a hybrid DSL interleaving SQL operators over structured fields with vector-retrieval primitives over text and images, with SQL itself providing the logical algebra that fuses heterogeneous candidate sets.

Chengcheng You, Zhen Sun, Yunhai Hu et al. · 0 citations