--- title: "Tao Liu · University of Hong Kong — author profile and papers" description: "Tao Liu, University of Hong Kong: 3 papers on Elamur Research (2019–2026), h-index 0 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/tao-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tao-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tao Liu # Tao Liu Tao Liu has 3 papers in our library, in 2019–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Runming Yang](https://md.research.elamur.ai/free/en/authors/runming-yang/), [Taiqiang Wu](https://md.research.elamur.ai/free/en/authors/taiqiang-wu/), [Haotang Deng](https://md.research.elamur.ai/free/en/authors/haotang-deng/). 3 papers in our library · 2019–2026 [OpenAlex](https://openalex.org/A5139799063) · [**h-index 0**](https://openalex.org/authors/A5139799063) · [2 works](https://openalex.org/works?filter=author.id:A5139799063) · [0 citations](https://openalex.org/works?filter=author.id:A5139799063&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tao-liu/#papers) · [🔗 Cited 51 times in our library](https://md.research.elamur.ai/free/en/authors/tao-liu/cited-by/) · [⭐ Paper Stars ranking: #6194](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6194) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Tao+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tao+Liu) · [dblp](https://dblp.org/search?q=Tao+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Tao+Liu) ## Affiliations [🎓**Tsinghua University** Beijing · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/tao-liu/year/2026/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/tao-liu/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[UER: An Open-Source Toolkit for Pre-training Models](https://md.research.elamur.ai/free/en/papers/zhao-2019-uer-open-source-toolkit-pre/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2026-revisiting-model-interpolation-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](https://md.research.elamur.ai/free/en/papers/liu-2026-profit-leveraging-high-value-signals/)** *(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. - [Runming Yang](https://md.research.elamur.ai/free/en/authors/runming-yang/) ×2 - [Taiqiang Wu](https://md.research.elamur.ai/free/en/authors/taiqiang-wu/) ×2 - [Haotang Deng](https://md.research.elamur.ai/free/en/authors/haotang-deng/) - [Hui Chen](https://md.research.elamur.ai/free/en/authors/hui-chen/) - [Jiahao Wang](https://md.research.elamur.ai/free/en/authors/jiahao-wang/) - [Junjie Wang](https://md.research.elamur.ai/free/en/authors/junjie-wang/) - [Ngai Wong](https://md.research.elamur.ai/free/en/authors/ngai-wong/) - [Qi Ju](https://md.research.elamur.ai/free/en/authors/qi-ju/) - [Shaoning Sun](https://md.research.elamur.ai/free/en/authors/shaoning-sun/) - [Wei Lu](https://md.research.elamur.ai/free/en/authors/wei-lu/) - [Xi Chen](https://md.research.elamur.ai/free/en/authors/xi-chen/) - [Xiaoyong Du](https://md.research.elamur.ai/free/en/authors/xiaoyong-du/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## 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 →](https://md.research.elamur.ai/free/en/authors/tao-liu/cited-by/). Updated 1 November 2026