--- title: "Xianjun Yang — author profile and papers — Elamur Research" description: "Xianjun Yang, University of California, Santa Barbara: 4 papers on Elamur Research (2023–2026), h-index 6 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/xianjun-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xianjun-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xianjun Yang # Xianjun Yang Xianjun Yang has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Xinlu Zhang](https://md.research.elamur.ai/free/en/authors/xinlu-zhang/), [Fei Fang](https://md.research.elamur.ai/free/en/authors/fei-fang/), [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5102318433) · [**h-index 6**](https://openalex.org/authors/A5102318433) · [29 works](https://openalex.org/works?filter=author.id:A5102318433) · [212 citations](https://openalex.org/works?filter=author.id:A5102318433&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xianjun-yang/#papers) · [🔗 Cited 87 times in our library](https://md.research.elamur.ai/free/en/authors/xianjun-yang/cited-by/) · [⭐ Paper Stars ranking: #5833](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5833) 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=Xianjun+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xianjun+Yang) · [dblp](https://dblp.org/search?q=Xianjun+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Xianjun+Yang) ## Affiliations [🎓**University of California, Santa Barbara** Santa Barbara · United States 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🔬**Hefei Institutes of Physical Science** Hefei · China 2021–2024 · 21 papers](https://ror.org/046n57345) · [🏛️**Chinese Academy of Sciences** Beijing · China 2018–2024 · 20 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Intelligent Machines** Hefei · China 2018–2024 · 3 papers](https://ror.org/00w0qep84) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2012–2013 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Applied Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/applied-psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) 🧭 Topics 4 Research subjects and languages the work is about.[Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xianjun-yang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xianjun-yang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xianjun-yang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xianjun-yang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization](https://md.research.elamur.ai/free/en/papers/yang-2023-exploring-limits-chatgpt-query-aspect/)** *(2023 · 141 citations)* Earlier work on large language models for summarization mostly examined generic news summaries. This paper asks how ChatGPT performs in the harder, user-driven setting where a summary must answer a specific query or cover a given aspect. The authors tested it on four public benchmarks from different domains: QMSum… 2. **[CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy](https://md.research.elamur.ai/free/en/papers/zhang-2025-cbt-bench-evaluating-large-language/)** *(2025 · 23 citations)* Demand for mental health care far exceeds the number of available professionals. This paper asks how well large language models could support therapists practicing cognitive behavioral therapy (CBT). The authors worked with clinical psychologists, social work professors and hired CBT experts to build CBT-Bench, a… 3. **[MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding](https://md.research.elamur.ai/free/en/papers/li-2024-mmsci-dataset-graduate-level-multi/)** *(2024 · 20 citations)* Large Vision Language Models (LVLMs) are increasingly pitched as research assistants, but existing benchmarks mostly test simple charts or figures from a narrow set of fields. 4. **[Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/phan-2026-beyond-reasoning-gains-mitigating-general/)** *(2026)* Reinforcement learning with verifiable rewards (RLVR) improves math and multimodal reasoning, but it tends to wear away skills a model already had, such as perception, OCR and robustness. ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Xinlu Zhang](https://md.research.elamur.ai/free/en/authors/xinlu-zhang/) ×2 - [Fei Fang](https://md.research.elamur.ai/free/en/authors/fei-fang/) - [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/) - [Jingyu Zhang](https://md.research.elamur.ai/free/en/authors/jingyu-zhang/) - [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/) - [Mian Zhang](https://md.research.elamur.ai/free/en/authors/mian-zhang/) - [Shaun M. Eack](https://md.research.elamur.ai/free/en/authors/shaun-m-eack/) - [Shengjie Bi](https://md.research.elamur.ai/free/en/authors/shengjie-bi/) - [Wanrong Zhu](https://md.research.elamur.ai/free/en/authors/wanrong-zhu/) - [Wei Cheng](https://md.research.elamur.ai/free/en/authors/wei-cheng/) - [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) - [Xifeng Yan](https://md.research.elamur.ai/free/en/authors/xifeng-yan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## Cited by Papers of our library cite their works 87 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xianjun-yang/cited-by/). Updated 1 November 2026