--- title: "Yichen Jiang · Fudan University — author profile and papers" description: "Yichen Jiang, Fudan University: 2 papers on Elamur Research (2019–2020), h-index 11 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yichen-jiang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yichen-jiang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yichen Jiang # Yichen Jiang Yichen Jiang has 2 papers in our library, in 2019–2020, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/), [Shikha Bordia](https://md.research.elamur.ai/free/en/authors/shikha-bordia/). 2 papers in our library · 2019–2020 [OpenAlex](https://openalex.org/A5101705761) · [ORCID](https://orcid.org/0000-0002-9139-3799) · [**h-index 11**](https://openalex.org/authors/A5101705761) · [48 works](https://openalex.org/works?filter=author.id:A5101705761) · [541 citations](https://openalex.org/works?filter=author.id:A5101705761&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yichen-jiang/#papers) · [🔗 Cited 173 times in our library](https://md.research.elamur.ai/free/en/authors/yichen-jiang/cited-by/) · [⭐ Paper Stars ranking: #3910](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3910) 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=Yichen+Jiang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yichen+Jiang) · [dblp](https://dblp.org/search?q=Yichen+Jiang) · [ACL Anthology](https://aclanthology.org/search/?q=Yichen+Jiang) ## Affiliations [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2018–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**Beijing Jiaotong University** Beijing · China 2013–2014 · 4 papers](https://md.research.elamur.ai/free/en/universities/beijing-jiaotong-university/) · [🎓**University of Florida** Gainesville · United States 2021–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-florida/) · [🎓**University of California San Diego** San Diego · United States 2017–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Harbin Institute of Technology** Harbin · China 2013–2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2020** 1 paper HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification](https://md.research.elamur.ai/free/en/papers/jiang-2020-hover-dataset-many-hop-fact/) ### 2010s [**2019** 1 paper Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA](https://md.research.elamur.ai/free/en/papers/jiang-2019-avoiding-reasoning-shortcuts-adversarial-evaluation/) ## Papers The most cited first (OpenAlex and our library). 1. **[HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification](https://md.research.elamur.ai/free/en/papers/jiang-2020-hover-dataset-many-hop-fact/)** *(2020 · 221 citations)* Existing fact-checking benchmarks such as FEVER mostly need evidence from one Wikipedia page. Multi-hop QA sets like HotpotQA can often be solved through surface word overlap. HoVer targets claims whose verification requires chaining evidence across up to four English Wikipedia articles, where some supporting… 2. **[Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA](https://md.research.elamur.ai/free/en/papers/jiang-2019-avoiding-reasoning-shortcuts-adversarial-evaluation/)** *(2019 · 140 citations)* Multi-hop QA benchmarks are meant to test whether a system can chain several pieces of evidence. Jiang and Bansal show that many HotpotQA questions can be solved by matching question keywords against a single sentence, skipping the intermediate hop entirely. To expose this, they introduce ADDDOC, an adversary that… ## Co-authors here 2 co-authors with a page, the most papers together first. - [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) ×2 - [Shikha Bordia](https://md.research.elamur.ai/free/en/authors/shikha-bordia/) ## 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/): [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2020](https://md.research.elamur.ai/free/en/venues/findings/2020/) ## Cited by Papers of our library cite their works 173 times (of the 141,840 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yichen-jiang/cited-by/). Updated 24 October 2026