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Ziyi Yang

Ziyi Yang has 5 papers in our library, in 2023–2025, most of them on Reasoning, Language models & pretraining, Summarization; often with Chenliang Li, Fanqi Wan, Fei Huang.

5 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 12 · 61 works · 469 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 1,321 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #6848

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

🎓Georgia Institute of TechnologyAtlanta · United States2025Employment since 2025 · Student, Computer Sciencecurrent🏢MicrosoftRedmond · United States2020–2025 · 26 papers🎓Stanford UniversityStanford · United States2018–2023 · 14 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 · 5 worksArtificial Intelligence · 5 worksArts and Humanities · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 2 worksSummarization · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20253 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MACSum: Controllable Summarization with Mixed Attributes (2023 · 37 citations)
    Readers often want summaries tailored to them, for example short ones, ones about a specific topic, or ones that stay close to the source wording.
  2. FuseChat: Knowledge Fusion of Chat Models (2025 · 25 citations)
    Building a strong chat LLM from scratch is expensive, and many existing models already have overlapping skills.
  3. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning (2025 · 13 citations)
    Reinforcement learning has made large reasoning models (LRMs) much better at problems with short inputs. It is still unclear how to train them to reason over very long documents, potentially around 120K tokens. The authors frame this as "long-context reasoning RL," where the model must first find and ground the…
  4. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle (2024 · 13 citations)
    The report describes how Microsoft made its Phi-3 family of small language models safer. These models are compact enough for on-device use, so they reach many users and contexts. The team used an iterative "break-fix" loop with five stages. First, they built safety data: public datasets that were cleaned up, partly…
  5. QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management (2025 · 10 citations)
    Research on long contexts has mostly targeted pre-training and architecture, so post-training lags behind.

All works

10 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. Unifying Vision, Text, and Layout for Universal Document Processing ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZineng Tang et al.2023 · 162 citations
  2. Language Models with Image Descriptors Are Strong Few-Shot Video-Language Learners ↗neural information processing systems · no summary yetZhenhailong Wang et al.2022 · 100 citations
  3. Any-to-Any Generation via Composable Diffusion ↗neural information processing systems · no summary yetZineng Tang et al.2023 · 70 citations
  4. Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation ↗arXiv:2403.08002 · Nature Communications volume 16, Article number: 3108 (2025) · no summary yetJuan Manuel Zambrano Chaves et al.2024 · 57 citations
  5. MACSum: Controllable Summarization with Mixed AttributesTransactions of the Association for Computational Linguistics (TACL)Yusen Zhang, Yang Liu, Ziyi Yang, et al.2023 · 37 citations
  6. CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZineng Tang et al.2024 · 34 citations
  7. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
  8. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningarXiv:2505.17667Fanqi Wan, Weizhou Shen, Shengyi Liao, et al.2025 · 13 citations
  9. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" CyclearXiv:2407.13833Emman Haider, Daniel Perez-Becker, Thomas Portet, et al.2024 · 13 citations
  10. QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory ManagementarXiv:2512.12967Weizhou Shen, Ziyi Yang, Chenliang Li, et al.2025 · 10 citations

 Co-authors here

12 of 26 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 1,321 times (of the 149,439 papers whose bibliographies we read); 211 citing papers with a page here →.

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