Qianli Ma
Qianli Ma has 2 papers in our library, in 2025–2026, most of them on Bias, fairness & safety; often with Dongrui Liu, Jing Shao, Linfeng Zhang.
OpenAlex · ORCID · h-index 19 · 98 works · 1,491 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9957
Affiliations
🎓Shandong University of Finance and EconomicsJinan ·
China2026 · 1 paper🎓Army Medical UniversityChongqing ·
China2010–2022 · 22 papers🏥Xinqiao HospitalChongqing ·
China2010–2022 · 19 papers🏥Qingdao Municipal HospitalQingdao ·
China2018–2021 · 6 papers🏥Second Hospital of Hebei Medical UniversityShijiazhuang ·
China2008–2025 · 4 papers🎓Shanghai Jiao Tong UniversityShanghai ·
China2020–2025 · 4 papers🎓Shanxi UniversityTaiyuan ·
China2023–2025 · 4 papers🎓Hebei Medical UniversityShijiazhuang ·
China2008–2025 · 3 papers🏥China-Japan Friendship HospitalBeijing ·
China2022–2024 · 3 papers🎓Dalian Maritime UniversityDalian ·
China2025 · 2 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHistory and Philosophy of Science · 1 work
🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work
Works by year
2020s
Papers
- Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance (2026 · 5 citations)
The paper addresses AI help for authors writing rebuttals during peer review. Existing tools either fine-tune models on paper–response pairs, which tends to invent experimental results, or rely on long, opaque chat sessions with proprietary LLMs. The authors treat the task as organizing decisions and evidence rather… - LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint (2025 · 5 citations)
Combining several fine-tuned LLMs into one through training-free model merging tends to weaken safety. The merged model gains skills such as math or coding but becomes more willing to produce harmful output. The authors trace this to two causes. First, existing methods pick neurons by parameter magnitude, which…
Co-authors here
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