--- title: "Linlong Xu · Alibaba Group — author profile and papers" description: "Linlong Xu, Alibaba Group: 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/linlong-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/linlong-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Linlong Xu # Linlong Xu Linlong Xu has 3 papers in our library, in 2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/), [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/), [Xiaohu Zhao](https://md.research.elamur.ai/free/en/authors/xiaohu-zhao/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139760817) · [**h-index 0**](https://openalex.org/authors/A5139760817) · [7 works](https://openalex.org/works?filter=author.id:A5139760817) · [0 citations](https://openalex.org/works?filter=author.id:A5139760817&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/linlong-xu/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11387](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11387) 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=Linlong+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Linlong+Xu) · [dblp](https://dblp.org/search?q=Linlong+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Linlong+Xu) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) 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 4 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/) 🧭 Topics 3 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/linlong-xu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation](https://md.research.elamur.ai/free/en/papers/zhou-2026-incentivizing-parametric-knowledge-reinforcement-learning/)** *(2026 · 1 citation)* Large language models often mistranslate culturally grounded entities such as songs, films, books, places and idioms. 2. **[From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-insight-action-novel-framework-interpretability/)** *(2026)* Sparse Autoencoders (SAEs) and other mechanistic interpretability tools can expose meaningful features inside LLMs, but these findings are rarely used to improve the models themselves. 3. **[M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-m-2-po-multi-perspective/)** *(2026)* The paper tackles unreliable reward signals in preference-based alignment of LLMs for machine translation. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×3 - [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/) ×3 - [Xiaohu Zhao](https://md.research.elamur.ai/free/en/authors/xiaohu-zhao/) ×3 - [Xinwei Wu](https://md.research.elamur.ai/free/en/authors/xinwei-wu/) ×3 - [Yangyang Liu](https://md.research.elamur.ai/free/en/authors/yangyang-liu/) ×3 - [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/) ×2 - [Jiang Zhou](https://md.research.elamur.ai/free/en/authors/jiang-zhou/) ×2 - [Longyue Wang](https://md.research.elamur.ai/free/en/authors/longyue-wang/) ×2 - [Tianyu Dong](https://md.research.elamur.ai/free/en/authors/tianyu-dong/) ×2 - [Weihua Luo](https://md.research.elamur.ai/free/en/authors/weihua-luo/) ×2 - [Bo Zeng](https://md.research.elamur.ai/free/en/authors/bo-zeng/) - [Liangying Shao](https://md.research.elamur.ai/free/en/authors/liangying-shao/) ## 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/) ×3 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026