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Zhongyu Ouyang

Zhongyu Ouyang has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Speech & spoken language; often with Chunhui Zhang, Soroush Vosoughi, Chiyu Ma.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 4 · 20 works · 64 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 20 times in our library · ⭐ Paper Stars ranking: #8986

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

🎓Dartmouth CollegeHanover · United States2024–2026 · 13 papersEducation since 2024current🎓University of Notre DameNotre Dame · United States2022–2024 · 4 papersEducation 2022–2024 · Ph.D., Computer Science🎓University of PittsburghPittsburgh · United States2018–2020Education 2018–2020 · M.S., Industrial Engineering🎓Tianjin UniversityTianjin · China2014–2018Education 2014–2018 · B.S., Metallurgical Engineering

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 12The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksSignal Processing · 1 workSocial Sciences · 1 workComputational Theory and Mathematics · 1 workDecision Sciences · 1 workEducation · 1 workInformation Systems · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 4 worksReasoning · 2 worksSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models (2025 · 11 citations)
    Large audio-language models (LALMs) can understand speech, but they are weak at multi-step logical reasoning.
  2. Growing Through Experience: Scaling Episodic Grounding in Language Models (2025 · 5 citations)
    The paper addresses how language models can learn from past interaction experience (episodic grounding) to plan physical, multi-step tasks.
  3. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning (2026 · 4 citations)
    Curriculum learning, which sorts training examples from easy to hard, is often used to improve LLM reasoning.
  4. What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context (2026 · 1 citation)
    LLM-based sequential recommenders are usually tuned with DPO-style alignment, which reduces user feedback to simple preferred-versus-dispreferred pairs.

 Co-authors here

8 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 20 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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