--- title: "Zhuoshi Pan — author profile and papers — Elamur Research" description: "Zhuoshi Pan, Shanghai Artificial Intelligence Laboratory: 4 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhuoshi-pan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhuoshi-pan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhuoshi Pan # Zhuoshi Pan Zhuoshi Pan has 4 papers in our library, in 2024–2026, 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Conghui He](https://md.research.elamur.ai/free/en/authors/conghui-he/), [Qizhi Pei](https://md.research.elamur.ai/free/en/authors/qizhi-pei/), [Yu Li](https://md.research.elamur.ai/free/en/authors/yu-li/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5108876828) · [**h-index 2**](https://openalex.org/authors/A5108876828) · [8 works](https://openalex.org/works?filter=author.id:A5108876828) · [60 citations](https://openalex.org/works?filter=author.id:A5108876828&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhuoshi-pan/#papers) · [🔗 Cited 126 times in our library](https://md.research.elamur.ai/free/en/authors/zhuoshi-pan/cited-by/) · [⭐ Paper Stars ranking: #5866](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5866) 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=Zhuoshi+Pan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhuoshi+Pan) · [dblp](https://dblp.org/search?q=Zhuoshi+Pan) · [ACL Anthology](https://aclanthology.org/search/?q=Zhuoshi+Pan) ## Affiliations [🎓**Tsinghua University** Beijing · China 2024–2025 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) 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 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 3 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** 2 papers](https://md.research.elamur.ai/free/en/authors/zhuoshi-pan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhuoshi-pan/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhuoshi-pan/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://md.research.elamur.ai/free/en/papers/pan-2024-llmlingua-2-data-distillation-efficient/)** *(2024 · 161 citations)* Long prompts built with techniques like RAG, in-context learning or chain-of-thought increase the cost and latency of LLM inference. 2. **[MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion](https://md.research.elamur.ai/free/en/papers/pei-2025-mathfusion-enhancing-mathematical-problem-solving/)** *(2025 · 10 citations)* Most data augmentation for mathematical SFT changes one problem at a time, for example by rewording it or adjusting its difficulty. 3. **[ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch](https://md.research.elamur.ai/free/en/papers/liu-2026-chartverse-scaling-chart-reasoning-reliable/)** *(2026 · 5 citations)* Open-source vision-language models lag on chart reasoning, mainly because training data is weak. Synthetic charts tend to be simple and repetitive, and automatically generated QA pairs often contain hallucinated or numerically wrong answers. ChartVerse is a code-driven pipeline that builds both charts and reasoning… 4. **[REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once](https://md.research.elamur.ai/free/en/papers/pan-2026-rest-stress-testing-large-reasoning/)** *(2026 · 3 citations)* Standard reasoning benchmarks pose one question per prompt. Many, such as GSM8K and MATH500, are now close to saturated for large reasoning models (LRMs), which forces repeated, costly creation of new test sets. The single-question format also ignores real deployments where a model must handle several queries in one… ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Conghui He](https://md.research.elamur.ai/free/en/authors/conghui-he/) ×3 - [Qizhi Pei](https://md.research.elamur.ai/free/en/authors/qizhi-pei/) ×3 - [Yu Li](https://md.research.elamur.ai/free/en/authors/yu-li/) ×3 - [H. Vicky Zhao](https://md.research.elamur.ai/free/en/authors/h-vicky-zhao/) ×2 - [Honglin Lin](https://md.research.elamur.ai/free/en/authors/honglin-lin/) ×2 - [Lijun Wu](https://md.research.elamur.ai/free/en/authors/lijun-wu/) ×2 - [Xin Gao](https://md.research.elamur.ai/free/en/authors/xin-gao/) ×2 - [Chin-Yew Lin](https://md.research.elamur.ai/free/en/authors/chin-yew-lin/) - [Huiqiang Jiang](https://md.research.elamur.ai/free/en/authors/huiqiang-jiang/) - [Jue Zhang](https://md.research.elamur.ai/free/en/authors/jue-zhang/) - [Lili Qiu](https://md.research.elamur.ai/free/en/authors/lili-qiu/) - [Menglin Xia](https://md.research.elamur.ai/free/en/authors/menglin-xia/) ## 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/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 126 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/zhuoshi-pan/cited-by/). Updated 1 November 2026