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Xinyu Zhou

Xinyu Zhou has 4 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Psycholinguistics & language acquisition; often with Bowen Zhou, Cheng Peng, Jiang Zhong.

4 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 11 · 44 works · 658 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #7967

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Me LLaMA: Foundation Large Language Models for Medical Applications (2024 · 33 citations)
    General-domain open LLMs such as LLaMA often lack specialized medical knowledge. Commercial systems like ChatGPT and GPT-4 are closed and hard to customize. Earlier open medical models seldom combined continual pre-training with instruction tuning, rarely drew on clinical notes and were evaluated mostly on QA. The…
  2. Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability (2025 · 8 citations)
    Large language models often respond like people in psycholinguistic experiments, but it remains unclear which internal units support these abilities.
  3. Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale (2026 · 3 citations)
    Intern-S1-Pro, from Shanghai AI Laboratory, is presented as the first scientific multimodal foundation model with one trillion parameters.
  4. 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.…

 Co-authors here

12 of 22 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 35 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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