--- title: "Jiawei Zhou — author profile and papers — Elamur Research" description: "Jiawei Zhou, Shanghai Jiao Tong University: 4 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/jiawei-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiawei-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiawei Zhou # Jiawei Zhou Jiawei Zhou 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/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Chi Zhang](https://md.research.elamur.ai/free/en/authors/chi-zhang/), [Dengpan Ye](https://md.research.elamur.ai/free/en/authors/dengpan-ye/), [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139839013) · [**h-index 0**](https://openalex.org/authors/A5139839013) · [3 works](https://openalex.org/works?filter=author.id:A5139839013) · [0 citations](https://openalex.org/works?filter=author.id:A5139839013&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/jiawei-zhou/#papers) · [🔗 Cited 57 times in our library](https://md.research.elamur.ai/free/en/authors/jiawei-zhou/cited-by/) · [⭐ Paper Stars ranking: #8614](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8614) 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=Jiawei+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiawei+Zhou) · [dblp](https://dblp.org/search?q=Jiawei+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Jiawei+Zhou) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Stony Brook University** Stony Brook · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/stony-brook-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 6 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jiawei-zhou/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jiawei-zhou/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models](https://md.research.elamur.ai/free/en/papers/song-2025-prmbench-fine-grained-challenging-benchmark/)** *(2025 · 63 citations)* Process-level reward models (PRMs) score each intermediate step of an LLM's reasoning chain. Existing benchmarks mostly check whether a step is right or wrong, so they miss subtler failures. This paper introduces PRMBench, a math-reasoning benchmark that tests whether PRMs can spot different kinds of step-level… 2. **[ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning](https://md.research.elamur.ai/free/en/papers/zhou-2026-ark-answer-centric-retriever-tuning/)** *(2026 · 3 citations)* ARK addresses a weakness of retrievers in long-context RAG. They are trained to match queries to similar text, so they often miss sparse passages that actually let a generator produce the right answer. The authors propose a fine-tuning recipe that targets answer usefulness instead of surface similarity. 3. **[Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-omni-i2c-holistic-benchmark-high/)** *(2026)* Omni-I2C is a benchmark that tests whether Large Multimodal Models (LMMs) can turn structured digital graphics into executable code that reproduces the original image. 4. **[Position: Scores Without Context? Rethinking the Role of Evaluation in the Era of LLMs](https://md.research.elamur.ai/free/en/papers/zhou-2026-position-scores-without-context-rethinking/)** *(2026)* This position paper examines how NLP evaluation has changed since large language models became dominant. Benchmarks once tested generalization from known training data to held-out test sets. Now they mostly measure what a system can do, while training corpora stay large and often undisclosed. The author argues that a… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Chi Zhang](https://md.research.elamur.ai/free/en/authors/chi-zhang/) - [Dengpan Ye](https://md.research.elamur.ai/free/en/authors/dengpan-ye/) - [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/) - [Hang Ding](https://md.research.elamur.ai/free/en/authors/hang-ding/) - [Jing Zhang](https://md.research.elamur.ai/free/en/authors/jing-zhang/) - [Mingyang Song](https://md.research.elamur.ai/free/en/authors/mingyang-song/) - [Xiaoye Qu](https://md.research.elamur.ai/free/en/authors/xiaoye-qu/) - [Yu Cheng](https://md.research.elamur.ai/free/en/authors/yu-cheng/) - [Zhaochen Su](https://md.research.elamur.ai/free/en/authors/zhaochen-su/) ## 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/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/): [GEM 2026](https://md.research.elamur.ai/free/en/venues/gem/2026/) ## Cited by Papers of our library cite their works 57 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiawei-zhou/cited-by/). Updated 2 November 2026