---
title: "Lizhen Qu · Monash University — author profile and papers"
description: "Lizhen Qu, Monash University: 5 papers on Elamur Research (2016–2026), h-index 21 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/lizhen-qu/"
---
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# Lizhen Qu

Lizhen Qu has 5 papers in our library, in 2016–2026, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Gholamreza Haffari](https://md.research.elamur.ai/free/en/authors/gholamreza-haffari/), [Viet Thanh Pham](https://md.research.elamur.ai/free/en/authors/viet-thanh-pham/), [Dat Quoc Nguyen](https://md.research.elamur.ai/free/en/authors/dat-quoc-nguyen/).

5 papers in our library · 2016–2026

[OpenAlex](https://openalex.org/A5008486397) · [ORCID](https://orcid.org/0000-0002-7764-431X) · [Wikidata](https://www.wikidata.org/wiki/Q130893894) · [**h-index 21**](https://openalex.org/authors/A5008486397) · [139 works](https://openalex.org/works?filter=author.id:A5008486397) · [2,815 citations](https://openalex.org/works?filter=author.id:A5008486397&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/lizhen-qu/#papers) · [🔗 Cited 211 times in our library](https://md.research.elamur.ai/free/en/authors/lizhen-qu/cited-by/) · [14 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6294](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6294)

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

## Affiliations

[🎓**Monash University** Melbourne · Australia 2019–2026 · 96 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/monash-university/) · [🔬**Data61** Sydney · Australia 2015–2020 · 13 papers](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**Australian National University** Canberra · Australia 2015–2017 · 9 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🔬**Max Planck Institute for Informatics** Saarbrücken · Germany 2010–2014 · 6 papers](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) · [🏛️**Commonwealth Scientific and Industrial Research Organisation** Canberra · Australia 2017–2019 · 4 papers](https://md.research.elamur.ai/free/en/government/commonwealth-scientific-and-industrial-research-organisation/) · [🎓**The University of Melbourne** Melbourne · Australia 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🎓**Binus University** Jakarta · Indonesia 2024 · 2 papers](https://ror.org/03zmf4s77)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

## 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).[Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [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/)

🧭 Topics 5 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/lizhen-qu/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/lizhen-qu/year/2023/)

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/lizhen-qu/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[STransE: a novel embedding model of entities and relationships in knowledge bases](https://md.research.elamur.ai/free/en/papers/nguyen-2016-stranse-novel-embedding-model-entities/)** *(2016 · 130 citations)* Knowledge bases such as WordNet or Freebase store facts as (head, relation, tail) triples, but they are far from complete.
2. **[Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery](https://md.research.elamur.ai/free/en/papers/feng-2023-less-is-more-mitigate-spurious/)** *(2023 · 11 citations)* Open-domain response generators such as BlenderBot and DialoGPT write fluent replies but often lose track of long conversation histories.
3. **[CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-cotevol-self-evolving-chain-thoughts/)** *(2026)* Training LLMs for math reasoning depends on high-quality Chain-of-Thought (CoT) data, which is expensive to annotate.
4. **[Distributional Alignment for Large Language Models under Domain Shift](https://md.research.elamur.ai/free/en/papers/pham-2026-distributional-alignment-large-language-models/)** *(2026)* The paper addresses distribution prediction for LLMs: estimating the share of a country's population that would choose each option of a multiple-choice survey question.
5. **[LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations](https://md.research.elamur.ai/free/en/papers/pham-2026-liveculturebench-multi-agent-multi-cultural/)** *(2026)* LLM-based agents are usually judged by whether they finish tasks. Static benchmarks such as CDEval and NormAd test cultural knowledge, but they cannot show how cultural misalignment appears when an agent pursues goals over time. LiveCultureBench fills this gap. It places a target LLM agent in a simulated small city…

## All works

19 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach ↗](https://doi.org/10.1109/cvpr.2017.240) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Giorgio Patrini et al.*2017 · 1,448 citations*
2. **[STransE: a novel embedding model of entities and relationships in knowledge bases](https://md.research.elamur.ai/free/en/papers/nguyen-2016-stranse-novel-embedding-model-entities/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, et al.*2016 · 130 citations*
3. **[FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ↗](https://aclanthology.org/2023.findings-acl.632/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Zhuo Zhang et al.*2023 · 108 citations*
4. **[D-PAGE: Diverse Paraphrase Generation ↗](https://arxiv.org/abs/1808.04364) arXiv:1808.04364 · no summary yet**Qiongkai Xu et al.*2018 · 42 citations*
5. **[Privacy-Aware Text Rewriting ↗](https://aclanthology.org/W19-8633/) Proceedings of the 12th International Conference on Natural Language Generation · no summary yet**Qiongkai Xu et al.*2019 · 39 citations*
6. **[What Can Natural Language Processing Do for Peer Review? ↗](https://arxiv.org/abs/2405.06563) arXiv:2405.06563 · no summary yet**Ilia Kuznetsov et al.*2024 · 33 citations*
7. **[FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ↗](https://aclanthology.org/2023.acl-long.193/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhuo Zhang et al.*2023 · 33 citations*
8. **[Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? ↗](https://aclanthology.org/2023.findings-emnlp.929/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Xiaoxi Kang et al.*2023 · 23 citations*
9. **[Automating IRAC Analysis in Malaysian Contract Law using a Semi-Structured Knowledge Base ↗](https://doi.org/10.1007/s10506-025-09467-5) arXiv:2406.13217 · Artificial Intelligence and Law (2025) · no summary yet**Xiaoxi Kang et al.*2024 · 12 citations*
10. **[Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery](https://md.research.elamur.ai/free/en/papers/feng-2023-less-is-more-mitigate-spurious/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tao Feng, Lizhen Qu, Gholamreza Haffari*2023 · 11 citations*
11. **[Using Generative AI to Identify Arguments in Judges’ Reasons: Accuracy and Benefits for Students ↗](https://doi.org/10.5204/lthj.3637) Law Technology and Humans · no summary yet**Paul Burgess et al.*2024 · 9 citations*
12. **[ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation ↗](https://aclanthology.org/D19-3003/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations · no summary yet**Qiongkai Xu, Chenchen Xu, Lizhen Qu*2019 · 9 citations*
13. **[The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning ↗](https://aclanthology.org/2023.acl-long.529/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhuang Li et al.*2023 · 6 citations*
14. **[Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search ↗](https://aclanthology.org/2025.findings-emnlp.488/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Shuo Huang et al.*2025 · 1 citation*
15. **[CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-cotevol-self-evolving-chain-thoughts/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuo Wang, Zhuo Zhang, Yafu Li, et al.*2026*
16. **[Distributional Alignment for Large Language Models under Domain Shift](https://md.research.elamur.ai/free/en/papers/pham-2026-distributional-alignment-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Viet Thanh Pham, Lizhen Qu, Zhuang Li, et al.*2026*
17. **[LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations](https://md.research.elamur.ai/free/en/papers/pham-2026-liveculturebench-multi-agent-multi-cultural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu, et al.*2026*
18. **[LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues ↗](https://aclanthology.org/2026.acl-long.350/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Fanyu Wang et al.*2026*
19. **[NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human ↗](https://aclanthology.org/2025.findings-emnlp.476/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Shuo Huang et al.*2025*

## Co-authors here

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

- [Gholamreza Haffari](https://md.research.elamur.ai/free/en/authors/gholamreza-haffari/) ×3
- [Viet Thanh Pham](https://md.research.elamur.ai/free/en/authors/viet-thanh-pham/) ×2
- [Dat Quoc Nguyen](https://md.research.elamur.ai/free/en/authors/dat-quoc-nguyen/)
- [Dinh Phung](https://md.research.elamur.ai/free/en/authors/dinh-phung/)
- [Kairit Sirts](https://md.research.elamur.ai/free/en/authors/kairit-sirts/)
- [Mark Johnson](https://md.research.elamur.ai/free/en/authors/mark-johnson/)
- [Tao Feng](https://md.research.elamur.ai/free/en/authors/tao-feng/)
- [Thuy-Trang Vu](https://md.research.elamur.ai/free/en/authors/thuy-trang-vu/)
- [Yafu Li](https://md.research.elamur.ai/free/en/authors/yafu-li/)
- [Yu Cheng](https://md.research.elamur.ai/free/en/authors/yu-cheng/)
- [Zenglin Xu](https://md.research.elamur.ai/free/en/authors/zenglin-xu/)
- [Zhuang Li](https://md.research.elamur.ai/free/en/authors/zhuang-li/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- Findings of the Association for Computational Linguistics: EMNLP 2025 ×3
- [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
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2016](https://md.research.elamur.ai/free/en/venues/naacl/2016/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2023](https://md.research.elamur.ai/free/en/venues/tacl/2023/)
- Findings of the Association for Computational Linguistics: ACL 2023
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Law Technology and Humans
- Proceedings of the 12th International Conference on Natural Language Generation
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations

## Cited by

Papers of our library cite their works 211 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lizhen-qu/cited-by/).

Updated 1 November 2026