🧑‍🔬 Zhiyu Xue

🏛️ Affiliations

🎓University of California, Santa BarbaraSanta Barbara · United States2023–2026 · 14 papersEmployment since 2024 · Research Assistant, ECEcurrent🎓Michigan State UniversityEast Lansing · United States2022–2023 · 3 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations (2026 · 1 citation)
   Generative medical vision-language models (Med-VLMs) can be pushed into answering malicious requests, such as using a scan to commit fraud.
2. Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection (2026)
   Medical vision-language models (Med-VLMs) are often given user-supplied clinical hints, but it was unclear how they react when those hints are wrong.
3. Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety Alignment (2026)
   Safety-aligned LLMs often refuse harmless requests, a failure known as overrefusal. This paper asks why safety fine-tuning causes it. The authors argue that harmful training queries contain non-harmful parts, such as ordinary events ("create a video") or polite help-seeking phrases ("Can you help me"). During…

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. Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models ↗arXiv (Cornell University) · no summary yetLiwei Che et al.2026 · 2 citations
2. Enhancing the Safety of Medical Vision-Language Models by Synthetic DemonstrationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani2026 · 1 citation
3. Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal ReflectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani2026
4. Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety AlignmentWorkshop on Trustworthy NLPZhiyu Xue, Zimo Qi, Guangliang Liu, et al.2026
5. Learning from Primitive: Probing Visual Reasoning of LVLMs via Counting ↗Lecture notes in computer science · no summary yetLiwei Che et al.2026

🤝 Co-authors here

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

• Ramtin Pedarsani ×3
• Reza Abbasi-Asl ×2

Venues

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

• Conference of the European Chapter of the Association for Computational Linguistics (EACL) ×2: EACL 2026 ×2
• Workshop on Trustworthy NLP: Workshop on Trustworthy NLP 2026
• Lecture notes in computer science

🔗 Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated 2 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zhiyu-xue/