SubmissionNumber#=%=#4 FinalPaperTitle#=%=#zzucs at PsyDefDetect: Bridging Long-Tail Imbalance and Clinical Rubrics for DMRS Defense-Level Detection ShortPaperTitle#=%=# NumberOfPages#=%=# CopyrightSigned#=%=# JobTitle#==# Organization#==# Abstract#==#Detecting DMRS defense levels in emo- tional support dialogues faces two challenges: extreme class imbalance and fine-grained clinical discrimination between adjacent lev- els. We present zzucs for PsyDefDetect at BioNLP 2026, pursuing a data–supervision co-design strategy. SCCR employs stratified resampling to equalize support across nine defense levels. CoR–QLoRA encodes clini- cal rubrics—task contracts, taxonomy defini- tions, and boundary cues—into static prompts for 8B model adaptation. Ablations show SCCR improves macro-F1 by 4.9 points over naive oversampling. Our system (team sly_zzu, ID 652647) achieves 0.3585 macro-F1 on blind test, surpassing all published 8B base- lines by 4.4+ F1 points.The code has been released at https://github.com/jackssdd/ zzucs_psydefdetect_code. Author{1}{Firstname}#=%=#Bin Author{1}{Lastname}#=%=#Huang Author{1}{Username}#=%=#qwqqwq Author{1}{Orcid}#=%=# Author{1}{Email}#=%=#1084893712@qq.com Author{1}{Affiliation}#=%=#Zhengzhou University Author{2}{Firstname}#=%=#Liuyuan Author{2}{Lastname}#=%=#Su Author{2}{Orcid}#=%=# Author{2}{Email}#=%=#suliuyuan@gs.zzu.edu.cn Author{2}{Affiliation}#=%=#Zhengzhou University Author{3}{Firstname}#=%=#Kaixuan Author{3}{Lastname}#=%=#Yuan Author{3}{Orcid}#=%=# Author{3}{Email}#=%=#2805476399@qq.com Author{3}{Affiliation}#=%=#Zhengzhou University Author{4}{Firstname}#=%=#Guanghui Author{4}{Lastname}#=%=#Zhao Author{4}{Orcid}#=%=# Author{4}{Email}#=%=#2285986836@qq.com Author{4}{Affiliation}#=%=#Zhengzhou University Author{5}{Firstname}#=%=#Shixin Author{5}{Lastname}#=%=#Zhang Author{5}{Orcid}#=%=# Author{5}{Email}#=%=#17837272557@163.com Author{5}{Affiliation}#=%=#Zhengzhou University Author{6}{Firstname}#=%=#Kunli Author{6}{Lastname}#=%=#Zhang Author{6}{Orcid}#=%=# Author{6}{Email}#=%=#ieklzhang@zzu.edu.cn Author{6}{Affiliation}#=%=#Zhengzhou University ========== èéáğö