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Tao Liu

Tao Liu has 3 papers in our library, in 2019–2026, most of them on Language models & pretraining, Reasoning; often with Runming Yang, Taiqiang Wu, Haotang Deng.

3 papers in our library · 2019–2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 51 times in our library · ⭐ Paper Stars ranking: #6194

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 · 4 paperscurrent🎓University of Hong KongPok Fu Lam · China2025–2026 · 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. UER: An Open-Source Toolkit for Pre-training Models (2019 · 140 citations)
    Pre-training models such as ELMO, GPT and BERT differ in their training corpus, encoder architecture, pre-training target and fine-tuning strategy.
  2. Revisiting Model Interpolation for Efficient Reasoning (2026 · 6 citations)
    The paper looks at efficient reasoning: how to keep the accuracy of long chain-of-thought models while producing fewer tokens.
  3. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection (2026 · 4 citations)
    Standard supervised fine-tuning (SFT) trains an LLM to reproduce one reference answer token by token. Valid alternative phrasings are therefore penalized, and the model tends to memorize surface wording. Training on several references per prompt could help, but the authors find it expensive and unstable. They instead…

 Co-authors here

12 of 15 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 51 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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