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Lizhen Qu

Lizhen Qu has 5 papers in our library, in 2016–2026, most of them on Language models & pretraining, Dialogue systems, Evaluation & benchmarks; often with Gholamreza Haffari, Viet Thanh Pham, Dat Quoc Nguyen.

5 papers in our library · 2016–2026

OpenAlex · ORCID · Wikidata · h-index 21 · 139 works · 2,815 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 211 times in our library · 14 more in our library without a page yet · ⭐ Paper Stars ranking: #6294

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. STransE: a novel embedding model of entities and relationships in knowledge bases (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 (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 (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 (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 (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGiorgio Patrini et al.2017 · 1,448 citations
  2. FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetZhuo Zhang et al.2023 · 108 citations
  3. D-PAGE: Diverse Paraphrase Generation ↗arXiv:1808.04364 · no summary yetQiongkai Xu et al.2018 · 42 citations
  4. Privacy-Aware Text Rewriting ↗Proceedings of the 12th International Conference on Natural Language Generation · no summary yetQiongkai Xu et al.2019 · 39 citations
  5. What Can Natural Language Processing Do for Peer Review? ↗arXiv:2405.06563 · no summary yetIlia Kuznetsov et al.2024 · 33 citations
  6. FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhuo Zhang et al.2023 · 33 citations
  7. Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetXiaoxi Kang et al.2023 · 23 citations
  8. Automating IRAC Analysis in Malaysian Contract Law using a Semi-Structured Knowledge Base ↗arXiv:2406.13217 · Artificial Intelligence and Law (2025) · no summary yetXiaoxi Kang et al.2024 · 12 citations
  9. Using Generative AI to Identify Arguments in Judges’ Reasons: Accuracy and Benefits for Students ↗Law Technology and Humans · no summary yetPaul Burgess et al.2024 · 9 citations
  10. ALTER: Auxiliary Text Rewriting Tool for 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 · no summary yetQiongkai Xu, Chenchen Xu, Lizhen Qu2019 · 9 citations
  11. The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhuang Li et al.2023 · 6 citations
  12. Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetShuo Huang et al.2025 · 1 citation
  13. LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetFanyu Wang et al.2026
  14. NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetShuo Huang et al.2025

 Co-authors here

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

Venues

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

 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 →.

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