--- title: "Shuai Zhao — author profile and papers — Elamur Research" description: "Shuai Zhao, Nanyang Technological University: 4 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/shuai-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuai-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuai Zhao # Shuai Zhao Shuai Zhao has 4 papers in our library, in 2025–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Anh Tuan Luu](https://md.research.elamur.ai/free/en/authors/anh-tuan-luu/), [Xiaobao Wu](https://md.research.elamur.ai/free/en/authors/xiaobao-wu/), [Dongyan Zhao](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139802967) · [**h-index 1**](https://openalex.org/authors/A5139802967) · [3 works](https://openalex.org/works?filter=author.id:A5139802967) · [3 citations](https://openalex.org/works?filter=author.id:A5139802967&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/shuai-zhao/#papers) · [🔗 Cited 13 times in our library](https://md.research.elamur.ai/free/en/authors/shuai-zhao/cited-by/) · [⭐ Paper Stars ranking: #10645](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10645) 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=Shuai+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuai+Zhao) · [dblp](https://dblp.org/search?q=Shuai+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Shuai+Zhao) ## Affiliations [🎓**Nanyang Technological University** Singapore · Singapore 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/shuai-zhao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/shuai-zhao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge](https://md.research.elamur.ai/free/en/papers/wu-2025-antileakbench-preventing-data-contamination-automatically/)** *(2025 · 12 citations)* Large language models are usually tested on public, static benchmarks, and those test items can leak into the training data of later models, which inflates their scores. 2. **[P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-p2p-poison-poison-remedy-reliable/)** *(2026 · 3 citations)* Fine-tuning LLMs on third-party or outsourced data exposes them to data-poisoning backdoors. Most existing defenses filter or sanitize inputs and only work against particular trigger styles or task types. Onion targets character-level triggers, while PDB and PSIM are limited to classification. The authors propose… 3. **[Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation](https://md.research.elamur.ai/free/en/papers/wu-2026-curriculum-learning-based-hierarchical-scoring/)** *(2026)* Evaluating question answering (QA) outputs from LLMs at scale is hard. Lexical metrics such as EM, F1 or BLEU miss semantic equivalence. LLM-as-a-Judge setups based on commercial APIs are slow and expensive and rarely explain why an answer failed. HiEval addresses both problems with two models trained in sequence… 4. **[Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization](https://md.research.elamur.ai/free/en/papers/xu-2026-understanding-preventing-entropy-collapse-rlvr/)** *(2026)* RLVR methods such as GRPO tend to suffer from entropy collapse. Early in training the policy becomes nearly deterministic, which limits exploration and destabilizes learning. Existing fixes have drawbacks. Entropy bonuses act bluntly and can inflate entropy late in training. Clipping heuristics like Clip-higher are… ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Anh Tuan Luu](https://md.research.elamur.ai/free/en/authors/anh-tuan-luu/) ×3 - [Xiaobao Wu](https://md.research.elamur.ai/free/en/authors/xiaobao-wu/) ×3 - [Dongyan Zhao](https://md.research.elamur.ai/free/en/authors/dongyan-zhao/) - [Kai He](https://md.research.elamur.ai/free/en/authors/kai-he/) - [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/) - [Mingzhe Du](https://md.research.elamur.ai/free/en/authors/mingzhe-du/) - [Qiong Wu](https://md.research.elamur.ai/free/en/authors/qiong-wu/) - [Rui Mao](https://md.research.elamur.ai/free/en/authors/rui-mao/) - [Ruiwen Zhou](https://md.research.elamur.ai/free/en/authors/ruiwen-zhou/) - [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) - [Yubo Ma](https://md.research.elamur.ai/free/en/authors/yubo-ma/) - [Yuxi Xie](https://md.research.elamur.ai/free/en/authors/yuxi-xie/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shuai-zhao/cited-by/). Updated 2 November 2026