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Who cites Qiang Ju

19 citations of their works from 18 papers of our library (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← Qiang Ju

  1. RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sunzhu Li, Jiale Zhao, Huimin Ren, et al.2026 · 9 citations
  2. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QAAnnual Meeting of the Association for Computational Linguistics (ACL)Justice Ou, Tinglin Huang, Yilun Zhao, et al.2026 · 4 citations
  3. Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-MakingarXiv:2602.06570Chengfeng Dou, Fan Yang, Fei Li, et al.2026 · 2 citations
  4. MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP IntegrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yakun Zhu, Yutong Huang, Shengqian Qin, et al.2026 · 2 citations
  5. DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & InferenceFindings of the Association for Computational LinguisticsZihan Wang, Hao Wang, Shi Feng, et al.2026 · 1 citation
  6. ClinAlign: Scaling Healthcare Alignment from Clinician PreferenceFindings of the Association for Computational LinguisticsShiwei Lyu, Xidong Wang, Hao Zhu, et al.2026
  7. Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical DialogueFindings of the Association for Computational LinguisticsGuangya Yu, Hui Luo, Qi Ye, et al.2026
  8. MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric DiagnosisAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Sun, Ymyang, Xinyi Jiang, et al.2026
  9. Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenguang Wang, Bo Li, Wenhui Tan, et al.2026
  10. Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical ReasoningFindings of the Association for Computational LinguisticsChi Liu, Yan Shu, Mengzhuo Chen, et al.2026

8 more citing papers of our library have no page here yet.

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