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Kailai Yang

Kailai Yang has 3 papers in our library, in 2025–2026, most of them on Evaluation & benchmarks; often with Sophia Ananiadou, Zhiwei Liu, Erxue Min.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 15 · 34 works · 1,048 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 77 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8921

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

🎓University of ManchesterManchester · United Kingdom2022–2026 · 29 papersEducationEmploymentcurrent🎓Harbin Institute of TechnologyHarbin · China2020–2021 · 2 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.

 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).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 workSocial Psychology · 1 work

🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations (2026 · 13 citations)
    Emotional support dialogue systems have mostly modeled empathy, supporter strategies and affect. They have largely ignored how help-seekers' words reveal psychological defenses, which shape what people disclose and whether they accept help. The PsyDefDetect shared task at BioNLP@ACL 2026 addresses this gap. Systems…
  2. Selective Preference Optimization via Token-Level Reward Function Estimation (2025 · 8 citations)
    Token-level preference alignment for LLMs usually trains on every token, which adds noise and wastes compute.
  3. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training (2026 · 1 citation)
    Continual pre-training of an LLM on a narrow target field, such as math, often causes catastrophic forgetting of general skills.

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. Towards Interpretable Mental Health Analysis with Large Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetKailai Yang et al.2023 · 208 citations
  2. Overview of the PsyDefDetect Shared Task at BioNLP 2026: Detecting Levels of Psychological Defense Mechanisms in Supportive ConversationsBioNLPHongbin Na, Zimu Wang, Zhaoming Chen, et al.2026 · 13 citations
  3. Selective Preference Optimization via Token-Level Reward Function EstimationConference on Empirical Methods in Natural Language Processing (EMNLP)Kailai Yang, Zhiwei Liu, Qianqian Xie, et al.2025 · 8 citations
  4. Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kailai Yang, Xiao Liu, Lei Ji, et al.2026 · 1 citation

 Co-authors here

12 of 21 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 77 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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