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Xianjun Yang

Xianjun Yang has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Summarization, Reasoning; often with Xinlu Zhang, Fei Fang, Haifeng Chen.

4 papers in our library · 2023–2026

OpenAlex · h-index 6 · 29 works · 212 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 87 times in our library · ⭐ Paper Stars ranking: #5833

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of California, Santa BarbaraSanta Barbara · United States2024–2025 · 2 paperscurrent🔬Hefei Institutes of Physical ScienceHefei · China2021–2024 · 21 papers🏛️Chinese Academy of SciencesBeijing · China2018–2024 · 20 papers🔬Institute of Intelligent MachinesHefei · China2018–2024 · 3 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2012–2013 · 2 papers

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksPsychology · 1 workComputer Vision and Pattern Recognition · 2 worksApplied Psychology · 1 workSocial Psychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Summarization · 1 workLanguage models & pretraining · 1 workVision & language · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization (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 (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 (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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