🧑‍🔬 Guixian Xu

🏛️ Affiliations

🎓Minzu University of ChinaBeijing · China2026 · 5 paperscurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language Modeling (2026)
   Tibetan has been largely left out of recent progress in vision–language models. It lacks image–text data, multimodal instruction sets and standardized benchmarks, so Tibetan VLM results are hard to reproduce or compare. The authors address this with FTibSuite, which has three parts:
2. Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax (2026)
   When LLMs are adapted to a poorly supported language, they often lose ground on skills they already had. This is known as the alignment tax. The authors blame supervised fine-tuning (SFT): its token-level likelihood objective forces the model to copy small, skewed datasets, which overwrites pretrained knowledge. They…

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Xuexian Song ×2
• Zeli Su ×2
• Ziyin Zhang ×2
• Ting Zhang
• Wentao Zhang
• Xiaolu Zhang
• Xu Han
• Zhou Liu

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 ×2: Findings of the Association for Computational Linguistics 2026 ×2

Updated 2 November 2026

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