--- title: "Linchao Zhu · Zhejiang University — author profile and papers" description: "Linchao Zhu, Zhejiang University: 4 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/linchao-zhu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/linchao-zhu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Linchao Zhu # Linchao Zhu Linchao Zhu has 4 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Hang Yu](https://md.research.elamur.ai/free/en/authors/hang-yu/), [Minfeng Zhu](https://md.research.elamur.ai/free/en/authors/minfeng-zhu/), [Peng Di](https://md.research.elamur.ai/free/en/authors/peng-di/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139751366) · [**h-index 0**](https://openalex.org/authors/A5139751366) · [9 works](https://openalex.org/works?filter=author.id:A5139751366) · [0 citations](https://openalex.org/works?filter=author.id:A5139751366&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/linchao-zhu/#papers) · [⭐ Paper Stars ranking: #13280](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13280) 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=Linchao+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Linchao+Zhu) · [dblp](https://dblp.org/search?q=Linchao+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=Linchao+Zhu) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/linchao-zhu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2026-attention-as-selector-unlocking-vlm/)** *(2026)* Long documents rarely fit into a vision-language model's context, so DocQA pipelines usually pick a few pages first. 2. **[How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity](https://md.research.elamur.ai/free/en/papers/shi-2026-how-improve-llms-performance-specific/)** *(2026)* LLMs perform unevenly across languages. When target-language training data is scarce, practitioners usually pick a related "donor" language for fine-tuning based on linguistic typology. This work questions whether typology matches how models themselves perceive language similarity. The authors propose three… 3. **[N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization](https://md.research.elamur.ai/free/en/papers/zhu-2026-n-grpo-embedding-level-neighbor/)** *(2026)* RL fine-tuning methods such as GRPO depend on the rollout phase producing varied reasoning paths. Existing approaches have drawbacks. Ordinary token sampling tends to produce near-duplicate solutions that differ only in wording or operand order. Adding Gaussian noise to embeddings, by contrast, often moves tokens to… 4. **[Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward](https://md.research.elamur.ai/free/en/papers/wen-2026-verifier-free-rl-llms-intrinsic/)** *(2026)* Reinforcement learning with verifiable rewards (RLVR) works well for LLM post-training, but it needs gold answers or task-specific checkers, which limits its use in new domains. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Hang Yu](https://md.research.elamur.ai/free/en/authors/hang-yu/) ×2 - [Minfeng Zhu](https://md.research.elamur.ai/free/en/authors/minfeng-zhu/) - [Peng Di](https://md.research.elamur.ai/free/en/authors/peng-di/) - [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/) - [Wei Chen](https://md.research.elamur.ai/free/en/authors/wei-chen/) - [Weihao Xuan](https://md.research.elamur.ai/free/en/authors/weihao-xuan/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [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