---
title: "Xuandong Zhao — author profile and papers — Elamur Research"
description: "Xuandong Zhao, University of California, Santa Barbara: 4 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/xuandong-zhao/"
---
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# Xuandong Zhao

Xuandong Zhao has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/), [Gaowen Liu](https://md.research.elamur.ai/free/en/authors/gaowen-liu/), [Jayanth Srinivasa](https://md.research.elamur.ai/free/en/authors/jayanth-srinivasa/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5107489256) · [**h-index 1**](https://openalex.org/authors/A5107489256) · [1 works](https://openalex.org/works?filter=author.id:A5107489256) · [29 citations](https://openalex.org/works?filter=author.id:A5107489256&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/#papers) · [🔗 Cited 94 times in our library](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/cited-by/) · [⭐ Paper Stars ranking: #6448](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6448)

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=Xuandong+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuandong+Zhao) · [dblp](https://dblp.org/search?q=Xuandong+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Xuandong+Zhao)

## Affiliations

[🎓**University of California, Santa Barbara** Santa Barbara · United States 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/)

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.

📚 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/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement](https://md.research.elamur.ai/free/en/papers/xu-2024-pride-prejudice-llm-amplifies-self/)** *(2024 · 88 citations)* Letting an LLM critique and revise its own output helps on some tasks but hurts on others. The authors attribute this inconsistency to self-bias: models rate their own generations more generously than an independent judge would. They formalise self-bias with two statistics. The first is the average gap between the…
2. **[The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1](https://md.research.elamur.ai/free/en/papers/zhou-2025-hidden-risks-large-reasoning-models/)** *(2025 · 30 citations)* Open-weight large reasoning models such as DeepSeek-R1 have become much stronger. Because they are freely available, misuse is a real concern. This study audits their safety systematically. It compares three open reasoning models (DeepSeek-R1, the Llama 3.3-based distilled DeepSeek-R1-70b, and QwQ) with non-reasoning…
3. **[SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning](https://md.research.elamur.ai/free/en/papers/zhou-2025-safekey-amplifying-aha-moment-insights/)** *(2025 · 9 citations)* Large Reasoning Models (LRMs) such as DeepSeek-R1 deliberate before answering, but they often comply with harmful requests and jailbreaks.
4. **[Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption](https://md.research.elamur.ai/free/en/papers/liu-2026-position-llm-watermarking-should-align/)** *(2026 · 2 citations)* This position paper asks why LLM watermarking is rarely deployed despite many proposed algorithms. The authors argue that the main obstacle is not technical performance. Instead, LLM providers, platforms, and end users want different things. They identify three barriers: competitive risk for providers who adopt…

## Co-authors here

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

- [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/) ×3
- [Gaowen Liu](https://md.research.elamur.ai/free/en/authors/gaowen-liu/) ×2
- [Jayanth Srinivasa](https://md.research.elamur.ai/free/en/authors/jayanth-srinivasa/) ×2
- [Kaiwen Zhou](https://md.research.elamur.ai/free/en/authors/kaiwen-zhou/) ×2
- [Xin Eric Wang](https://md.research.elamur.ai/free/en/authors/xin-eric-wang/) ×2
- [Aosong Feng](https://md.research.elamur.ai/free/en/authors/aosong-feng/)
- [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/)
- [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/)
- [Wenda Xu](https://md.research.elamur.ai/free/en/authors/wenda-xu/)
- [William Wang](https://md.research.elamur.ai/free/en/authors/william-wang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [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/)
- [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/): [IJCNLP 2025](https://md.research.elamur.ai/free/en/venues/ijcnlp/2025/)

## Cited by

Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuandong-zhao/cited-by/).

Updated 31 October 2026
