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Runchuan Zhu

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#machine learning Preprint Sep 2026

GenMem: Generative Symbolic Memory for Self-Evolving Harness

GenMem is presented, which reformulates memory management as generative symbolic addressing, a multi-level discrete token tuple drawn from a Cartesian-product address space that factorizes a million-scale sparse memory space using fewer than one hundred discrete symbols.

Xin-Ke Jiang, Tao Feng, Wei-Xuan Xu et al. · 0 citations
Preprint Aug 2026

HPFA: Hypergraph-Based Paired Failure Attribution for LLM Reasoning

A hypergraph-based paired failure attribution (HPFA) framework that attributes the failure root cause by comparing the hyperedges of the targeted failure reasoning path against a reference successful path is proposed, and the trained attributor consistently improves reasoning accuracy at test time.

Runchuan Zhu, Hong Dung Lai, Bowen Jiang et al. · 1 citation
#natural language process... Preprint Feb 2026

An evidence-guided reinforcement learning method to improve psychiatric reasoning in small language models

ClinMPO improved performance across two complementary schemes covering ICD-11 diagnostic categories and psychiatric practice competencies and Blinded assessment by three clinicians showed improved rationale quality across CPTS criteria.

Xinxin Lin, Guangxin Dai, Y. Zhong et al. · 1 citation

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