--- title: "Yixin Ji · Soochow University — author profile and papers" description: "Yixin Ji, Soochow University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yixin-ji/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yixin-ji/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yixin Ji # Yixin Ji Yixin Ji has 3 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Juntao Li](https://md.research.elamur.ai/free/en/authors/juntao-li/), [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/), [Ruotao Xu](https://md.research.elamur.ai/free/en/authors/ruotao-xu/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5133251304) · [**h-index 0**](https://openalex.org/authors/A5133251304) · [3 works](https://openalex.org/works?filter=author.id:A5133251304) · [0 citations](https://openalex.org/works?filter=author.id:A5133251304&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yixin-ji/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12813](https://md.research.elamur.ai/free/en/paper-stars/page/129/#star-12813) 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=Yixin+Ji) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yixin+Ji) · [dblp](https://dblp.org/search?q=Yixin+Ji) · [ACL Anthology](https://aclanthology.org/search/?q=Yixin+Ji) ## Affiliations [🎓**Soochow University** Suzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/soochow-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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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/yixin-ji/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/xiang-2026-when-is-thinking-enough-early/)** *(2026 · 1 citation)* Large reasoning models tend to overthink: they keep re-verifying or trying other strategies after they already have a correct solution, which wastes tokens. 2. **[GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection](https://md.research.elamur.ai/free/en/papers/yao-2026-gast-gradient-aligned-sparse-tuning/)** *(2026)* Sparse tuning methods for large language models usually work along one axis. Some update only a chosen subset of layers using every sample in a batch. Others train all layers on a filtered subset of the data. The authors argue that this ignores a key fact: individual samples help some layers and hurt others.… 3. **[When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-when-trust-tools-adaptive-tool/)** *(2026)* Tool-Integrated Reasoning (TIR) models solve math problems by interleaving reasoning with code execution. The authors show that these models often handle disagreements between their own reasoning and the tool's output poorly. They audited more than 32k trajectories with an LLM and found that most conflicts are… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Juntao Li](https://md.research.elamur.ai/free/en/authors/juntao-li/) ×2 - [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/) ×2 - [Ruotao Xu](https://md.research.elamur.ai/free/en/authors/ruotao-xu/) ×2 - [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/) - [Jinpeng Li](https://md.research.elamur.ai/free/en/authors/jinpeng-li/) - [Peifeng Li](https://md.research.elamur.ai/free/en/authors/peifeng-li/) - [Yang Xiang](https://md.research.elamur.ai/free/en/authors/yang-xiang/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026