---
title: "Qianli Wang · Shandong University — author profile and papers"
description: "Qianli Wang, Shandong University: 3 papers on Elamur Research (2026), h-index 10 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/qianli-wang/"
---
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# Qianli Wang

Qianli Wang 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/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/), [Mingyang Wang](https://md.research.elamur.ai/free/en/authors/mingyang-wang/), [Nils Feldhus](https://md.research.elamur.ai/free/en/authors/nils-feldhus/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5030326194) · [ORCID](https://orcid.org/0000-0001-5834-2087) · [**h-index 10**](https://openalex.org/authors/A5030326194) · [58 works](https://openalex.org/works?filter=author.id:A5030326194) · [424 citations](https://openalex.org/works?filter=author.id:A5030326194&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qianli-wang/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/qianli-wang/cited-by/) · [⭐ Paper Stars ranking: #9761](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9761)

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

## Affiliations

[🎓**Southwest Jiaotong University** Chengdu · China 2021–2026 · 30 papers*current*](https://md.research.elamur.ai/free/en/universities/southwest-jiaotong-university/) · [🔬**German Research Centre for Artificial Intelligence** Kaiserslautern · Germany 2023–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/) · [🎓**Technische Universität Berlin** Berlin · Germany 2023–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/technische-universitat-berlin/) · [🎓**Shandong University** Jinan · China 2020–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2017–2019 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**University of Auckland** Auckland · New Zealand 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) · [🎓**North China University of Technology** Beijing · China 2017–2018 · 2 papers](https://ror.org/01nky7652)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/)** *(2026 · 9 citations)* Most earlier reviews of mechanistic interpretability (MI) in LLMs describe what researchers have discovered inside models.
2. **[Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall](https://md.research.elamur.ai/free/en/papers/wang-2026-through-compressed-lens-investigating-impact/)** *(2026 · 2 citations)* The paper asks how post-training weight quantization affects factual knowledge recall (FKR), meaning an LLM's ability to retrieve facts stored during pretraining.
3. **[Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-parallel-universes-parallel-languages-comprehensive/)** *(2026)* Counterfactual explanations are small edits to an input that flip a classifier's prediction. LLMs produce them well in English, but their quality in other languages had not been studied. To examine this, the authors evaluate three open instruction-tuned LLMs on XNLI and SIB200, two multilingual classification…

## Co-authors here

12 of 19 co-authors with a page, the most papers together first.

- [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) ×2
- [Mingyang Wang](https://md.research.elamur.ai/free/en/authors/mingyang-wang/) ×2
- [Nils Feldhus](https://md.research.elamur.ai/free/en/authors/nils-feldhus/) ×2
- [Sebastian Möller](https://md.research.elamur.ai/free/en/authors/sebastian-moller/) ×2
- [Vera Schmitt](https://md.research.elamur.ai/free/en/authors/vera-schmitt/) ×2
- [Chenming Shang](https://md.research.elamur.ai/free/en/authors/chenming-shang/)
- [Christin Seifert](https://md.research.elamur.ai/free/en/authors/christin-seifert/)
- [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/)
- [Hengyuan Zhang](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/)
- [Shuzhou Yuan](https://md.research.elamur.ai/free/en/authors/shuzhou-yuan/)
- [Simon Ostermann](https://md.research.elamur.ai/free/en/authors/simon-ostermann/)
- [Van Bach Nguyen](https://md.research.elamur.ai/free/en/authors/van-bach-nguyen/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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/)
- [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/): [Workshop on Trustworthy NLP 2026](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/)

## Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qianli-wang/cited-by/).

Updated 1 November 2026
