---
title: "Huiyuan Xie · Tsinghua University — author profile and papers"
description: "Huiyuan Xie, Tsinghua University: 3 papers on Elamur Research (2026), h-index 4 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/huiyuan-xie/"
---
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# Huiyuan Xie

Huiyuan Xie has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Yiran Rex Ma](https://md.research.elamur.ai/free/en/authors/yiran-rex-ma/), [Yuxiao Ye](https://md.research.elamur.ai/free/en/authors/yuxiao-ye/), [Chong Chen](https://md.research.elamur.ai/free/en/authors/chong-chen/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5101008638) · [**h-index 4**](https://openalex.org/authors/A5101008638) · [16 works](https://openalex.org/works?filter=author.id:A5101008638) · [36 citations](https://openalex.org/works?filter=author.id:A5101008638&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huiyuan-xie/#papers) · [🔗 Cited 32 times in our library](https://md.research.elamur.ai/free/en/authors/huiyuan-xie/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12750](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12750)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2024–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

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 9 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 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/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)

🧭 Topics 3 Research subjects and languages the work is about.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/huiyuan-xie/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation](https://md.research.elamur.ai/free/en/papers/ma-2026-clase-hybrid-method-chinese-legalese/)** *(2026 · 1 citation)* LLMs can write Chinese legal text that is factually sound but stylistically off. It may be too colloquial or use non-standard terms, or it may overcorrect with verbose, archaic phrasing and even invented legal concepts. Expert rubrics for these tacit norms are hard to write. Reference-based metrics blur meaning with…
2. **[LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generation](https://md.research.elamur.ai/free/en/papers/ye-2026-linguagame-linguistically-grounded-game-theoretic/)** *(2026)* LLM-based multi-agent systems are usually improved through architecture work such as role prompts and workflow design.
3. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/)** *(2026)* LLM-based evaluators ("LLM-as-a-Judge") tend to rate their own outputs, or outputs resembling their style, more favorably.

## All works

14 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. **[The Cambridge Law Corpus: A Dataset for Legal AI Research ↗](https://arxiv.org/abs/2309.12269) arXiv:2309.12269 · Advances in Neural Information Processing Systems, Datasets and Benchmarks Track, 2023 · no summary yet**Andreas Ostling et al.*2023 · 20 citations*
2. **[Information extraction from employment tribunal judgments using a large language model ↗](https://doi.org/10.1007/s10506-025-09443-z) Artificial Intelligence and Law (Springer) · no summary yet**Joana Ribeiro de Faria, Huiyuan Xie, Felix Steffek*2025 · 15 citations*
3. **[Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models ↗](https://arxiv.org/abs/2403.12936) arXiv:2403.12936 · no summary yet**Joana Ribeiro de Faria, Huiyuan Xie, Felix Steffek*2024 · 7 citations*
4. **[The CLC-UKET Dataset: Benchmarking Case Outcome Prediction for the UK Employment Tribunal ↗](https://aclanthology.org/2024.nllp-1.7/) Proceedings of the Natural Legal Language Processing Workshop 2024 · no summary yet**Huiyuan Xie et al.*2024 · 7 citations*
5. **[LegalΔ: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain ↗](https://arxiv.org/abs/2508.12281) arXiv:2508.12281 · no summary yet**Xin Dai et al.*2025 · 5 citations*
6. **[LegalDuet: Learning Fine-grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning ↗](https://arxiv.org/abs/2401.15371) arXiv:2401.15371 · no summary yet**Buqiang Xu et al.*2024 · 4 citations*
7. **[CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation](https://md.research.elamur.ai/free/en/papers/ma-2026-clase-hybrid-method-chinese-legalese/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie*2026 · 1 citation*
8. **[Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment Tribunal ↗](https://arxiv.org/abs/2607.04261) arXiv:2607.04261 · no summary yet**Joe Watson et al.*2026 · 1 citation*
9. **[LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generation](https://md.research.elamur.ai/free/en/papers/ye-2026-linguagame-linguistically-grounded-game-theoretic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxiao Ye, Yiming Zhang, Yiran Rex Ma, et al.*2026*
10. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*
11. **[LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases ↗](https://aclanthology.org/2026.acl-long.980/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yida Cai et al.*2026*
12. **[LexKairos: Benchmarking Legal Temporal Capabilities in LLMs ↗](https://arxiv.org/abs/2608.09106) arXiv:2608.09106 · no summary yet**Chenyang Li et al.*2026*
13. **[LexIssue: Benchmarking Legal Issue Identification in Chinese Civil Litigation ↗](https://arxiv.org/abs/2609.02954) arXiv:2609.02954 · no summary yet**Huiyuan Xie et al.*2026*
14. **[Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts ↗](https://arxiv.org/abs/2511.20736) arXiv:2511.20736 · no summary yet**Xing Wang et al.*2025*

## Co-authors here

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

- [Yiran Rex Ma](https://md.research.elamur.ai/free/en/authors/yiran-rex-ma/) ×2
- [Yuxiao Ye](https://md.research.elamur.ai/free/en/authors/yuxiao-ye/) ×2
- [Chong Chen](https://md.research.elamur.ai/free/en/authors/chong-chen/)
- [Ge Yu](https://md.research.elamur.ai/free/en/authors/ge-yu/)
- [Minghe Yu](https://md.research.elamur.ai/free/en/authors/minghe-yu/)
- [Shuliang Liu](https://md.research.elamur.ai/free/en/authors/shuliang-liu/)
- [Yiming Zhang](https://md.research.elamur.ai/free/en/authors/yiming-zhang/)
- [Yu Gu](https://md.research.elamur.ai/free/en/authors/yu-gu/)
- [Yukun Yan](https://md.research.elamur.ai/free/en/authors/yukun-yan/)
- [Zhenghao Liu](https://md.research.elamur.ai/free/en/authors/zhenghao-liu/)
- [Zhipeng Xu](https://md.research.elamur.ai/free/en/authors/zhipeng-xu/)
- [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-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](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)
- Artificial Intelligence and Law (Springer)
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Proceedings of the Natural Legal Language Processing Workshop 2024

## Cited by

Papers of our library cite their works 32 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huiyuan-xie/cited-by/).

Updated 2 November 2026