--- title: "Jingwei Ni — author profile and papers — Elamur Research" description: "Jingwei Ni, ETH Zurich: 3 papers on Elamur Research (2026), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jingwei-ni/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingwei-ni/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingwei Ni # Jingwei Ni Jingwei Ni has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Ekaterina Fadeeva](https://md.research.elamur.ai/free/en/authors/ekaterina-fadeeva/), [Mrinmaya Sachan](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/), [Tianyi Wu](https://md.research.elamur.ai/free/en/authors/tianyi-wu/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5113207856) · [**h-index 8**](https://openalex.org/authors/A5113207856) · [28 works](https://openalex.org/works?filter=author.id:A5113207856) · [318 citations](https://openalex.org/works?filter=author.id:A5113207856&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jingwei-ni/#papers) · [🔗 Cited 114 times in our library](https://md.research.elamur.ai/free/en/authors/jingwei-ni/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12757](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12757) 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=Jingwei+Ni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingwei+Ni) · [dblp](https://dblp.org/search?q=Jingwei+Ni) · [ACL Anthology](https://aclanthology.org/search/?q=Jingwei+Ni) ## Affiliations [🎓**ETH Zurich** Zurich · Switzerland 2022–2026 · 53 papers*current*](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**University of Zurich** Zurich · Switzerland 2023–2026 · 16 papers](https://md.research.elamur.ai/free/en/universities/university-of-zurich/) · [🎓**University College London** London · United Kingdom 2021–2022 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/jingwei-ni/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models](https://md.research.elamur.ai/free/en/papers/ni-2026-reprobe-efficient-test-time-scaling/)** *(2026 · 1 citation)* Test-time scaling improves LLM reasoning by sampling several candidate reasoning steps or full chains and keeping the most promising ones. 2. **[Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation](https://md.research.elamur.ai/free/en/papers/shi-2026-tackling-root-misinformation-teaching-laypeople/)** *(2026)* Automatic fallacy detectors can flag flawed arguments, but they do not teach people to spot such reasoning on their own. 3. **[ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning](https://md.research.elamur.ai/free/en/papers/smirnov-2026-thinkbooster-unified-framework-seamless-test/)** *(2026)* Research on test-time compute (TTC) scaling for LLM reasoning is scattered. Methods are tested under different protocols, model setups and budgets. Most papers report accuracy but not cost, and released code is rarely ready for production. ThinkBooster addresses this with a single open-source framework (MIT license)… ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[LEXam: Benchmarking Legal Reasoning on 340 Law Exams ↗](https://arxiv.org/abs/2505.12864) arXiv:2505.12864 · no summary yet**Yu Fan et al.*2025 · 50 citations* 2. **[Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills ↗](https://arxiv.org/abs/2603.25158) arXiv:2603.25158 · no summary yet**Jingwei Ni et al.*2026 · 12 citations* 3. **[ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models](https://md.research.elamur.ai/free/en/papers/ni-2026-reprobe-efficient-test-time-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.*2026 · 1 citation* 4. **[Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation](https://md.research.elamur.ai/free/en/papers/shi-2026-tackling-root-misinformation-teaching-laypeople/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minjing Shi, Junling Wang, Jingwei Ni, et al.*2026* 5. **[ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning](https://md.research.elamur.ai/free/en/papers/smirnov-2026-thinkbooster-unified-framework-seamless-test/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, et al.*2026* 6. **[Last Translation Benchmark ↗](https://arxiv.org/abs/2609.04173) arXiv:2609.04173 · no summary yet**Vilem Zouhar et al.*2026* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Ekaterina Fadeeva](https://md.research.elamur.ai/free/en/authors/ekaterina-fadeeva/) ×2 - [Mrinmaya Sachan](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/) ×2 - [Tianyi Wu](https://md.research.elamur.ai/free/en/authors/tianyi-wu/) ×2 - [Artem Shelmanov](https://md.research.elamur.ai/free/en/authors/artem-shelmanov/) - [Artem Vazhentsev](https://md.research.elamur.ai/free/en/authors/artem-vazhentsev/) - [Daria Galimzianova](https://md.research.elamur.ai/free/en/authors/daria-galimzianova/) - [Jiaheng Zhang](https://md.research.elamur.ai/free/en/authors/jiaheng-zhang/) - [Markus Leippold](https://md.research.elamur.ai/free/en/authors/markus-leippold/) - [Minh Ngoc Ta](https://md.research.elamur.ai/free/en/authors/minh-ngoc-ta/) - [Mubashara Akhtar](https://md.research.elamur.ai/free/en/authors/mubashara-akhtar/) - [Sankalan Pal Chowdhury](https://md.research.elamur.ai/free/en/authors/sankalan-pal-chowdhury/) - [See-Kiong Ng](https://md.research.elamur.ai/free/en/authors/see-kiong-ng/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 ## Cited by Papers of our library cite their works 114 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingwei-ni/cited-by/). Updated 1 November 2026