Elamur Research⌕
☰
home / authors / Shanshan Wang

Shanshan Wang

Shanshan Wang has 3 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Derek F. Wong, Jingming Yao, Lidia S. Chao.

3 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #10506

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

🔬National Library of the PhilippinesManila · Philippines2026 · 1 papercurrent🎓University of MacauMacao · China2026 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksLiterature and Literary Theory · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Can ChatGPT Really Understand Modern Chinese Poetry? (2026 · 3 citations)
    Prior work on ChatGPT and poetry has looked at generation, translation and detection outputs. This paper asks a more basic question: does the model actually comprehend modern Chinese verse? The authors propose ECUMP (Evaluation of ChatGPT's Understanding of Modern Poetry), a four-step framework:
  2. Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation (2026 · 2 citations)
    Debiased LLMs usually handle familiar or mildly biased prompts well, but they often fail on unfamiliar, strongly bias-laden prompts.
  3. Poller: Are LLMs Suitable for Evaluating Poetry Understanding Task? (2026)
    Standard automatic metrics do not capture the free form and figurative nature of modern Chinese poetry, and expert human judgment is reliable but too costly to scale.

 Co-authors here

3 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 5 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shanshan-wang/