--- title: "ChenZhuo Zhao · Peking University — author profile and papers" description: "ChenZhuo Zhao, Peking University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/chenzhuo-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chenzhuo-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / ChenZhuo Zhao # ChenZhuo Zhao ChenZhuo Zhao has 3 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Xinda Wang](https://md.research.elamur.ai/free/en/authors/xinda-wang/), [Bin-Bin Yang](https://md.research.elamur.ai/free/en/authors/bin-bin-yang/), [Feng Xiao](https://md.research.elamur.ai/free/en/authors/feng-xiao/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5140928864) · [**h-index 0**](https://openalex.org/authors/A5140928864) · [10 works](https://openalex.org/works?filter=author.id:A5140928864) · [0 citations](https://openalex.org/works?filter=author.id:A5140928864&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chenzhuo-zhao/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/chenzhuo-zhao/cited-by/) · [⭐ Paper Stars ranking: #12731](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12731) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=ChenZhuo+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=ChenZhuo+Zhao) · [dblp](https://dblp.org/search?q=ChenZhuo+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=ChenZhuo+Zhao) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/chenzhuo-zhao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-evolvr-self-evolving-pairwise-reasoning/)** *(2026 · 1 citation)* LLM judges remain weak at assessing stories. Prompting closed models is brittle, and fine-tuned open evaluators usually output scores without explicit reasoning. The authors propose EvolvR, a framework that teaches an open-source evaluator to reason over pairs of stories. The model works aspect by aspect, for example… 2. **[Gradient-Guided Multi-Judge Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-gradient-guided-multi-judge-prompt/)** *(2026)* GMPO tackles a common trade-off in automatic prompt optimization. Feedback-driven methods give rich signals but are costly. Population search needs many noisy evaluations. Earlier loss-based approaches spend a lot on locating influential prompt parts and tend to overfit to one scoring model. GMPO splits the prompt… 3. **[Triviality Corrected Endogenous Reward](https://md.research.elamur.ai/free/en/papers/wang-2026-triviality-corrected-endogenous-reward/)** *(2026)* Reinforcement fine-tuning for open-ended writing lacks verifiable rewards. It usually depends on costly proprietary LLM judges or on judge models trained with annotated preference data. The authors ask whether confidence-based endogenous rewards, which work for unsupervised RL in math, can serve writing instead. They… ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Xinda Wang](https://md.research.elamur.ai/free/en/authors/xinda-wang/) ×3 - [Bin-Bin Yang](https://md.research.elamur.ai/free/en/authors/bin-bin-yang/) ×2 - [Feng Xiao](https://md.research.elamur.ai/free/en/authors/feng-xiao/) ×2 - [Jialin Liu](https://md.research.elamur.ai/free/en/authors/jialin-liu/) ×2 - [Yanbingren](https://md.research.elamur.ai/free/en/authors/yanbingren/) ×2 - [Yangshijie Zhang](https://md.research.elamur.ai/free/en/authors/yangshijie-zhang/) ×2 - [Zhengxu Hou](https://md.research.elamur.ai/free/en/authors/zhengxu-hou/) ×2 - [Zhibo Yang](https://md.research.elamur.ai/free/en/authors/zhibo-yang/) ×2 - [Dongmei Zhang](https://md.research.elamur.ai/free/en/authors/dongmei-zhang/) - [Junting Lu](https://md.research.elamur.ai/free/en/authors/junting-lu/) - [Pu Zhao](https://md.research.elamur.ai/free/en/authors/pu-zhao/) - [Qingwei Lin](https://md.research.elamur.ai/free/en/authors/qingwei-lin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/chenzhuo-zhao/cited-by/). Updated 2 November 2026