Elamur Research⌕
☰
home / authors / Yongkang Huang

Yongkang Huang

Yongkang Huang has 2 papers in our library, in 2023, most of them on Language models & pretraining, Dialogue systems, Bias, fairness & safety; often with Bosi Wen, Jie Tang, Minlie Huang.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 21 · 49 works · 1,432 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 183 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4681

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

🎓Nankai UniversityTianjin · China2020–2025 · 23 paperscurrent🎓Zhejiang UniversityHangzhou · China2024–2025 · 4 paperscurrent🎓Northwest Minzu UniversityLanzhou · China2023–2025 · 3 paperscurrent🎓East China University of Science and TechnologyShanghai · China2018–2021 · 5 papers🎓Tianjin University of TechnologyTianjin · China2018–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20232 papersYongkang Huang's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. SafetyBench: Evaluating the Safety of Large Language Models (2023 · 136 citations)
    Assessing LLM safety is difficult. Earlier resources usually target a single risk such as toxicity or bias, and recent broad Chinese benchmarks cover only one language. Judging free-form outputs also requires either costly human raters or imperfect automatic classifiers. SafetyBench avoids the judging problem by…
  2. CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models (2023 · 59 citations)
    General-purpose LLMs are mostly trained on short, task-oriented exchanges. As a result, they handle long social conversations poorly, especially when asked to stay in a specific persona. Prompting them to role-play tends to lose consistency and liveliness over many turns. Classic persona-based dialogue covers only…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. SafetyBench: Evaluating the Safety of Large Language ModelsarXiv:2309.07045Zhexin Zhang, Leqi Lei, Lindong Wu, et al.2023 · 136 citations
  2. CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language ModelsarXiv:2311.16832Jinfeng Zhou, Zhuang Chen, Dazhen Wan, et al.2023 · 59 citations
  3. Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive DialoguesProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetJinfeng Zhou et al.2025 · 10 citations

 Co-authors here

9 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 183 times (of the 141,840 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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