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Gholamreza Haffari

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AIPO: Learning to Reason from Active Interaction

This work proposes AIPO, an enhanced reinforcement learning framework that improves LLM reasoning through active multi-agent interaction during exploration and consistently improves reasoning performance and generalizes across different policy models, collaborator backbones, and RLVR algorithms.

Junnan Liu, Linhao Luo, Thuy-Trang Vu et al. · 0 citations
#natural language process... Preprint Sep 2026

Conformal Privacy Auditing: Calibrated Re-identification Attacks with Statistical Guarantees

Conformal Privacy Auditing is introduced, a distribution-free calibration framework that provides a statistical certificate of re-identification risk for each released document against LLM-empowered adversaries and enables audits of open-source models and proprietary API models in a unified framework.

Shuo Huang, G. Haffari, Xing-Liang Yuan et al. · 0 citations
Preprint Aug 2026

Code as Representation: A Compilable Parsing Paradigm for Academic Documents

Compilable Academic Document Parsing (CADP) is proposed, a paradigm that reconstructs a full page as contextual \LaTeX{} plus executable Python, so that structure-preserving elements and executable chart representations can be reconstructed, recompiled, and directly verified against the source page.

Rihui Jin, Jun Wang, Chen Zhu et al. · 0 citations

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