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Yu Tian

Yu Tian has 6 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Kaiwen Wei, Xue Yang, Chang Liu.

6 papers in our library · 2025–2026

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

📄 6 works in our library · 🔗 Cited 12 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9655

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

🎓Tsinghua UniversityBeijing · China2025–2026 · 7 paperscurrent

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 14The field of science this work belongs to (OpenAlex fields).Computer Science · 6 worksComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 5 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksComputer Networks and Communications · 1 workHealth Information Management · 1 workHealth Professions · 1 workHuman-Computer Interaction · 1 workInformation Systems · 1 workPsychology · 1 workSafety Research · 1 workSocial Psychology · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.Bias, fairness & safety · 2 worksReasoning · 2 worksLanguage models & pretraining · 3 worksEnglish · 1 workVision & language · 1 work

 Works by year

2020s

20265 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Red Teaming Large Reasoning Models (2026 · 7 citations)
    Large Reasoning Models (LRMs) produce explicit chains of thought. This visible reasoning creates attack surfaces that standard LLM evaluations miss, and earlier benchmarks examined single threats in isolation without comparing LRMs to their base LLMs. The authors introduce Rt-LRM, a unified red-teaming benchmark that…
  2. Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model (2025 · 5 citations)
    Seedream 2.0 is a text-to-image diffusion foundation model that natively accepts prompts in both Chinese and English.
  3. Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models (2026)
    The paper asks whether Chinese LLMs adapt their conversational style to social signals that are only implied in a user's message, rather than stated in an instruction.
  4. Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction (2026)
    LLM-driven phone agents usually execute only what the user states explicitly. They struggle when a request leaves out the app ("play some music") or the content ("play my favorite"), and they do not learn from a person's past behavior. Me-Agent addresses this without any fine-tuning by modeling user habits at two…
  5. MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis (2026)
    The paper tackles automated psychiatric diagnosis with LLMs. Existing evaluation data are mostly social-media posts or synthetic stories with coarse labels, so they say little about real clinical use. The authors build MentalDx Bench from 712 de-identified electronic health records collected at partner hospitals.…
  6. Safe-FedLLM: Delving into the Safety of Federated Large Language Models (2026)
    Federated fine-tuning of LLMs (FedLLM) lets parties train jointly without pooling raw data. Little is known about how to defend such systems against malicious clients when the server sees only LoRA updates. The authors built a testbed on OpenFedLLM and FedLLM-Attack using Llama3.1-8B and Qwen2.5-7B. Benign clients…

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

  1. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
  2. Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation ModelarXiv:2503.07703Lixue Gong, Xiaoxia Hou, Fanshi Li, et al.2025 · 5 citations
  3. Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Tian, Jie Xing, Ziming Li, et al.2026
  4. Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced InteractionFindings of the Association for Computational LinguisticsShuoxin Wang, Chang Liu, Gowen Loo, et al.2026
  5. MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric DiagnosisAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Sun, Ymyang, Xinyi Jiang, et al.2026
  6. Safe-FedLLM: Delving into the Safety of Federated Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.2026
  7. SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXinyi Zeng et al.2026
  8. DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetLifan Zheng et al.2026

 Co-authors here

12 of 23 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 12 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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