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Ziquan Liu

Ziquan Liu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Ioannis Patras, Zhaohan Zhang, Chao Shen.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 20 · 160 works · 1,707 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 79 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7082

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. 16 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

 Papers

The most cited first (OpenAlex and our library).

  1. Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions (2025 · 74 citations)
    LLMs tend to reflect the values of Western societies, but there are few tools for explaining where a model's cultural profile departs from a target culture.
  2. Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization (2025 · 7 citations)
    Large language models can reproduce training passages word for word, which creates privacy and copyright risks.
  3. Confidence Should Be Calibrated More Than One Turn Deep (2026 · 3 citations)
    Research on LLM confidence calibration has mostly looked at single-turn question answering. Real deployments, however, involve dialogues where users push back. The authors define multi-turn calibration : confidence must match accuracy at every turn, given the conversation history. They introduce ECE@T , which…

All works

4 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. DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetQiangqiang Wu et al.2023 · 181 citations

 Co-authors here

8 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 79 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

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