---
title: "Zhaoxuan Tan — author profile and papers — Elamur Research"
description: "Zhaoxuan Tan, University of Notre Dame: 2 papers on Elamur Research (2024), h-index 13 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/zhaoxuan-tan/"
---
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# Zhaoxuan Tan

Zhaoxuan Tan has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/), [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/), [Zheyuan Liu](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5047674498) · [ORCID](https://orcid.org/0000-0001-8230-6238) · [Wikidata](https://www.wikidata.org/wiki/Q130801386) · [**h-index 13**](https://openalex.org/authors/A5047674498) · [54 works](https://openalex.org/works?filter=author.id:A5047674498) · [658 citations](https://openalex.org/works?filter=author.id:A5047674498&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/#papers) · [🔗 Cited 247 times in our library](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4845](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4845)

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

## Affiliations

[🎓**University of Notre Dame** Notre Dame · United States 2023–2026 · 35 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/) · [🏢**Google** Mountain View · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2021–2025 · 9 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🏢**Amazon** Seattle · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**University of Washington** Seattle · United States 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 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 · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2024** 2 papers Zhaoxuan Tan's papers of 2024](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/)** *(2024 · 83 citations)* Most current approaches to personalizing large language models work by putting user information into the prompt.
2. **[Towards Safer Large Language Models through Machine Unlearning](https://md.research.elamur.ai/free/en/papers/liu-2024-safer-large-language-models-through/)** *(2024 · 71 citations)* Large language models can still give dangerous answers to harmful prompts. Earlier unlearning methods based on gradient ascent suppress such answers but tend to damage replies to ordinary requests. The authors propose Selective Knowledge negation Unlearning (SKU), a two-stage framework that removes harmful knowledge…

## All works

13 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Can Language Models Solve Graph Problems in Natural Language? ↗](https://arxiv.org/abs/2305.10037) arXiv:2305.10037 · no summary yet**Heng Wang et al.*2023 · 120 citations*
2. **[Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.*2024 · 83 citations*
3. **[Towards Safer Large Language Models through Machine Unlearning](https://md.research.elamur.ai/free/en/papers/liu-2024-safer-large-language-models-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.*2024 · 71 citations*
4. **[Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts ↗](https://aclanthology.org/2024.emnlp-main.371/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhaoxuan Tan, Zheyuan Liu, Meng Jiang*2024 · 39 citations*
5. **[Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench ↗](https://aclanthology.org/2025.naacl-long.207/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Zheyuan Liu et al.*2025 · 22 citations*
6. **[Enhancing Mathematical Reasoning in LLMs by Stepwise Correction ↗](https://aclanthology.org/2025.acl-long.1048/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhenyu Wu et al.*2025 · 14 citations*
7. **[Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ↗](https://aclanthology.org/2025.acl-long.295/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zheyuan Liu et al.*2025 · 11 citations*
8. **[Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning ↗](https://aclanthology.org/2026.findings-acl.443/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Fengran Mo et al.*2026 · 2 citations*
9. **[Instant Personalized Large Language Model Adaptation via Hypernetwork ↗](https://aclanthology.org/2026.acl-long.1081/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhaoxuan Tan et al.*2026 · 2 citations*
10. **[Legislator Representation Learning with Social Context and Expert Knowledge ↗](https://arxiv.org/abs/2108.03881) arXiv:2108.03881 · no summary yet**Shangbin Feng et al.*2021 · 2 citations*
11. **[MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues ↗](https://aclanthology.org/2026.findings-acl.96/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Zheyuan Liu et al.*2026 · 1 citation*
12. **[From Personal to Collective: On the Role of Local and Global Knowledge in LLM Personalization ↗](https://aclanthology.org/2026.findings-acl.1478/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Zehong Wang et al.*2026*
13. **[Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment ↗](https://aclanthology.org/2026.findings-acl.586/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yizhuo Zhang et al.*2026*

## Co-authors here

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

- [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) ×2
- [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/) ×2
- [Zheyuan Liu](https://md.research.elamur.ai/free/en/authors/zheyuan-liu/) ×2
- [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/)
- [Qingkai Zeng](https://md.research.elamur.ai/free/en/authors/qingkai-zeng/)

## 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: ACL 2026 ×4
- Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×3
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 247 times (of the 141,840 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/cited-by/).

Updated 24 October 2026
