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Guibing Guo

Guibing Guo has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Dacheng Tao, Enneng Yang, Li Shen.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 30 · 190 works · 4,380 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 126 times in our library · ⭐ Paper Stars ranking: #7288

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

🎓Northeastern UniversityShenyang · China2016–2026 · 126 paperscurrent🎓Northeastern UniversityBoston · United States2018–2026 · 18 paperscurrent🎓Nanyang Technological UniversitySingapore · Singapore2011–2016 · 26 papers🎓Singapore Management UniversitySingapore · Singapore2015 · 3 papers🎓National University of SingaporeSingapore · Singapore2013–2014 · 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities (2024 · 79 citations)
    Model merging combines the weights of several already-trained expert networks into one model, usually needing neither the source training data nor costly retraining.
  2. AdaMerging: Adaptive Model Merging for Multi-Task Learning (2023 · 59 citations)
    Merging several fine-tuned copies of one pre-trained model into a single multi-task network is attractive when the original training data are unavailable.

 Co-authors here

7 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 126 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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