Hanning Zhang
Hanning Zhang has 2 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks; often with Cheng Niu, Hangyu Lin, Hanze Dong.
OpenAlex · ORCID · h-index 17 · 57 works · 1,151 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 55 times in our library · ⭐ Paper Stars ranking: #7063
Affiliations
🎓École Polytechnique Fédérale de LausanneLausanne ·
Switzerland2025–2026 · 4 papers🎓National University of SingaporeSingapore ·
Singapore2025–2026 · 3 papers🎓Southeast UniversityNanjing ·
China2012–2026 · 19 papers🎓Jiangnan UniversityWuxi ·
China2009–2018 · 13 papers🔬Jiangsu Key Laboratory for Advanced Metallic MaterialsNanjing ·
China2021–2024 · 8 papers🔬State Key Laboratory of Advanced Technology For Materials Synthesis and ProcessingWuhan2022–2023 · 3 papers🎓Wuhan University of TechnologyWuhan ·
China2022–2023 · 3 papers🎓Tianjin Medical UniversityTianjin ·
China2023–2025 · 2 papers🎓University of Illinois Urbana-ChampaignUrbana ·
United States2025 · 2 papers🎓University of Science and Technology BeijingBeijing ·
China2018–2021 · 2 papers
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work
Works by year
2020s
Papers
- Mitigating the Alignment Tax of RLHF (2024 · 83 citations)
RLHF makes LLMs follow human preferences, but it also tends to erode skills learned in pre-training. This loss is called the alignment tax. The authors measured it by aligning OpenLLaMA-3B on the Anthropic helpfulness/harmlessness data with Rejection Sampling Fine-tuning (RSF) and DPO. They then tracked performance… - OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation (2026 · 2 citations)
Reward models are central to RLHF, but there has been no dedicated training data or benchmark for open-ended, long-context generation.
Co-authors here
- Cheng Niu
- Hangyu Lin
- Hanze Dong
- Haoxiang Wang
- Jipeng Zhang
- Juno Zhu
- Juntong Song
- Renjie Pi
- Rui Pan
- Shizhe Diao
- Tong Zhang
- Wei Xiong
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/hanning-zhang/