Zhiheng Zhang
Zhiheng Zhang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Daojian Zeng, Bohan Yu, Jun Zhao.
OpenAlex · ORCID · h-index 15 · 97 works · 940 citations OpenAlex, 2026-10-14
Affiliations
🎓Shanghai Maritime UniversityShanghai ·
China2024–2026 · 4 papers🏛️Chinese Academy of SciencesBeijing ·
China2023–2026 · 2 papers🎓Nanjing Forestry UniversityNanjing ·
China2026 · 2 papers🎓Shanghai University of Finance and EconomicsShanghai ·
China2025–2026 · 2 papers🎓Sichuan UniversityChengdu ·
China2024–2026 · 2 papers🏢State Grid Corporation of ChinaBeijing ·
China2026 · 2 papers🏢State Grid Hubei Electric Power Co., Ltd.Wuhan ·
China2026 · 2 papers🎓University of Chinese Academy of SciencesBeijing ·
China2023–2026 · 2 papers🏢Aviation Industry Corporation of ChinaBeijing ·
China2026 · 1 paper🔬Institute of AutomationBeijing ·
China2026 · 1 paper
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs (2026)
Most automated methods for building LLM-based multi-agent systems (MAS) run every agent on the same model, such as GPT-4o. - Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints (2026)
Aligned LLMs often lose their refusal behavior after fine-tuning, even when the training data is benign. Most existing defenses act at only one level: they either restrict weight updates or regularize internal activations. The authors linearize a layer's output change around the aligned model and show that it splits…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Updated
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