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Sheng Sun

Sheng Sun has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Information retrieval & search, Bias, fairness & safety; often with Min Liu, Qi Li, Yu Yan.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 23 works · 130 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #9476

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

🎓Capital Medical UniversityBeijing · China2014–2025 · 13 paperscurrent🏥Beijing Chao-Yang Hospital, Capital Medical UniversityBeijing · China2025 · 2 paperscurrent🔬Institute of Computing TechnologyBeijing · China2025 · 2 paperscurrent🏥Beijing Ditan HospitalBeijing · China2014–2020 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workInformation Systems · 1 workSociology and Political Science · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 1 workBias, fairness & safety · 1 workIdioms & multiword expressions · 1 workLanguage models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Cognitive linguistics · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors (2025 · 12 citations)
    The paper argues that black-box jailbreaks which try to extract harmful content from an LLM in a single step are becoming easier to detect, because the malicious intent stays visible in the prompt.
  2. ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction (2026 · 3 citations)
    ZoFia targets zero-shot fake news detection, where LLMs struggle for two reasons. Their knowledge cutoff leads to hallucinated facts about recent events. A single model also tends to commit to a verdict early and then justify it, so it handles content analysis and fact checking poorly at the same time.

 Co-authors here

6 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 7 times (of the 149,439 papers whose bibliographies we read).

Updated

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