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Xinyan Guan

Xinyan Guan has 3 papers in our library, in 2025–2026, most of them on Machine translation, Reasoning, Bias, fairness & safety; often with Hongyu Lin, Le Sun, Xianpei Han.

3 papers in our library · 2025–2026

OpenAlex · h-index 3 · 22 works · 119 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 64 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8424

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

🏛️Chinese Academy of SciencesBeijing · China2024–2026 · 17 paperscurrent🔬Institute of SoftwareBeijing · China2024–2026 · 17 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2024–2026 · 17 paperscurrent🏢TencentShenzhen · China2025–2026 · 2 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workReasoning · 1 workMachine translation · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides (2025 · 30 citations)
    Most automatic slide generators treat the task as text-to-slides: they summarize a document and pour the text into fixed templates or rules.
  2. When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models (2026 · 1 citation)
    Large Reasoning Models (LRMs) still produce harmful content. Existing safety fixes usually constrain the whole reasoning trace, which tends to hurt reasoning quality. The authors divide each trace into a risk-awareness phase, a risk-analysis phase and a response-strategy phase. Using this split, they analyze where…
  3. FeedTrans: Enhance Machine Translation via Feedback (2026)
    Reinforcement learning (RL) for machine translation usually rewards a model only for what it can already produce.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. DeepRAG: Thinking to Retrieve Step by Step for Large Language Models ↗arXiv:2502.01142 · no summary yetXinyan Guan et al.2025 · 40 citations
  2. PPTAgent: Generating and Evaluating Presentations Beyond Text-to-SlidesConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Zheng, Xinyan Guan, Hao Kong, et al.2025 · 30 citations
  3. Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering ↗arXiv:2411.11504 · no summary yetXinyan Guan et al.2024 · 9 citations
  4. When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning ModelsFindings of the Association for Computational LinguisticsYingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.2026 · 1 citation
  5. FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026

 Co-authors here

12 of 15 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 64 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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