---
title: "Zixuan Ling — author profile and papers — Elamur Research"
description: "Zixuan Ling, Chinese University of Hong Kong: 2 papers on Elamur Research (2024–2026), h-index 3 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/zixuan-ling/"
---
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# Zixuan Ling

Zixuan Ling has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Changze Lv](https://md.research.elamur.ai/free/en/authors/changze-lv/), [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/), [Michael R. Lyu](https://md.research.elamur.ai/free/en/authors/michael-r-lyu/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5109662298) · [ORCID](https://orcid.org/0009-0006-2154-6944) · [**h-index 3**](https://openalex.org/authors/A5109662298) · [14 works](https://openalex.org/works?filter=author.id:A5109662298) · [28 citations](https://openalex.org/works?filter=author.id:A5109662298&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zixuan-ling/#papers) · [🔗 Cited 30 times in our library](https://md.research.elamur.ai/free/en/authors/zixuan-ling/cited-by/) · [⭐ Paper Stars ranking: #8219](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8219)

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

## Affiliations

[🎓**Chinese University of Hong Kong** Hong Kong · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Fudan University** Shanghai · China 2023–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/)

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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zixuan-ling/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zixuan-ling/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Aligning Large Language Models with Human Preferences through Representation Engineering](https://md.research.elamur.ai/free/en/papers/liu-2024-aligning-large-language-models-human/)** *(2024 · 37 citations)* Aligning LLMs with human preferences usually relies on RLHF. RLHF needs extra reward and value models, is expensive and is often unstable to train. Cheaper reward-free alternatives such as DPO and HIR react badly to noisy or mislabeled preference pairs. The authors propose RAHF (Representation Alignment from Human…
2. **[Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-identifying-achilles-heel-iterative-method/)** *(2026)* Large language models often state false facts with confidence. Existing factuality benchmarks have four main weaknesses: they need costly manual annotation, their static test sets may have leaked into training data, they cover few topics or question formats, and they cannot steer testing toward a model's weak spots.…

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Changze Lv](https://md.research.elamur.ai/free/en/authors/changze-lv/)
- [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/)
- [Michael R. Lyu](https://md.research.elamur.ai/free/en/authors/michael-r-lyu/)
- [Muling Wu](https://md.research.elamur.ai/free/en/authors/muling-wu/)
- [Tianlong Li](https://md.research.elamur.ai/free/en/authors/tianlong-li/)
- [Wenhao Liu](https://md.research.elamur.ai/free/en/authors/wenhao-liu/)
- [Wenxiang Jiao](https://md.research.elamur.ai/free/en/authors/wenxiang-jiao/)
- [Wenxuan Wang](https://md.research.elamur.ai/free/en/authors/wenxuan-wang/)
- [Xiaohua Wang](https://md.research.elamur.ai/free/en/authors/xiaohua-wang/)
- [Xiaoqing Zheng](https://md.research.elamur.ai/free/en/authors/xiaoqing-zheng/)
- [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/)
- [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/)

## 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/)
- [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/)

## Cited by

Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zixuan-ling/cited-by/).

Updated 1 November 2026
