--- title: "Jinbo Hu — author profile and papers — Elamur Research" description: "Jinbo Hu, Shanghai Jiao Tong University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jinbo-hu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinbo-hu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jinbo Hu # Jinbo Hu Jinbo Hu has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Bo Huang](https://md.research.elamur.ai/free/en/authors/bo-huang/), [Hao Liang](https://md.research.elamur.ai/free/en/authors/hao-liang/), [Haoran Zhao](https://md.research.elamur.ai/free/en/authors/haoran-zhao/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139817333) · [**h-index 0**](https://openalex.org/authors/A5139817333) · [2 works](https://openalex.org/works?filter=author.id:A5139817333) · [0 citations](https://openalex.org/works?filter=author.id:A5139817333&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jinbo-hu/#papers) · [⭐ Paper Stars ranking: #13660](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13660) 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=Jinbo+Hu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jinbo+Hu) · [dblp](https://dblp.org/search?q=Jinbo+Hu) · [ACL Anthology](https://aclanthology.org/search/?q=Jinbo+Hu) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jinbo-hu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Attribution-Based Analysis and Optimization of Modular Agentic Workflows](https://md.research.elamur.ai/free/en/papers/yang-2026-attribution-based-analysis-optimization-modular/)** *(2026)* Agent systems built from separate modules (planning, reasoning, action, reflection) are usually judged only by final task success. 2. **[MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-morphobench-benchmark-difficulty-adaptive-model/)** *(2026)* Static reasoning benchmarks quickly become too easy for frontier models. Many also reward recall of rare facts rather than logical inference. MorphoBench addresses this with a multidisciplinary benchmark whose difficulty can be tuned to the models being tested. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Bo Huang](https://md.research.elamur.ai/free/en/authors/bo-huang/) - [Hao Liang](https://md.research.elamur.ai/free/en/authors/hao-liang/) - [Haoran Zhao](https://md.research.elamur.ai/free/en/authors/haoran-zhao/) - [Junbo Niu](https://md.research.elamur.ai/free/en/authors/junbo-niu/) - [Mingrui Chen](https://md.research.elamur.ai/free/en/authors/mingrui-chen/) - [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) - [Yuxuan Zhu](https://md.research.elamur.ai/free/en/authors/yuxuan-zhu/) - [Ziyi He](https://md.research.elamur.ai/free/en/authors/ziyi-he/) - [ZongYu Wang](https://md.research.elamur.ai/free/en/authors/zongyu-wang/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026