--- title: "Chonghua Liao · Tsinghua University — author profile and papers" description: "Chonghua Liao, Tsinghua University: 2 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/chonghua-liao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chonghua-liao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chonghua Liao # Chonghua Liao Chonghua Liao has 2 papers in our library, in 2025–2026, 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 [Angang Du](https://md.research.elamur.ai/free/en/authors/angang-du/), [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/), [Bowei Xing](https://md.research.elamur.ai/free/en/authors/bowei-xing/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5064973064) · [**h-index 3**](https://openalex.org/authors/A5064973064) · [15 works](https://openalex.org/works?filter=author.id:A5064973064) · [26 citations](https://openalex.org/works?filter=author.id:A5064973064&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chonghua-liao/#papers) · [🔗 Cited 450 times in our library](https://md.research.elamur.ai/free/en/authors/chonghua-liao/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4128](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4128) 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=Chonghua+Liao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chonghua+Liao) · [dblp](https://dblp.org/search?q=Chonghua+Liao) · [ACL Anthology](https://aclanthology.org/search/?q=Chonghua+Liao) ## Affiliations [🎓**Tsinghua University** Beijing · China 2021–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 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** 1 paper](https://md.research.elamur.ai/free/en/authors/chonghua-liao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chonghua-liao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Kimi k1.5: Scaling Reinforcement Learning with LLMs](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k1-5-scaling-reinforcement/)** *(2025 · 431 citations)* Next-token pretraining is limited by how much high-quality text exists. The Kimi Team proposes reinforcement learning as another way to keep scaling: the model creates its own training signal by exploring solutions and receiving rewards. The report describes how they built Kimi k1.5, a multimodal LLM. Training runs… 2. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/)** *(2026 · 8 citations)* RL methods such as GRPO strengthen LLM reasoning, but they learn only from rollouts the model samples freely from its own distribution. ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**Kimi k1.5: Scaling Reinforcement Learning with LLMs arXiv:2501.12599**Kimi Team, Angang Du, Bofei Gao, et al.*2025 · 431 citations*](https://md.research.elamur.ai/free/en/papers/kimi-team-2025-kimi-k1-5-scaling-reinforcement/) 2. **[FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ↗](https://aclanthology.org/2022.acl-long.38/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yanan Zheng et al.*2022 · 34 citations* 3. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyang Wu, Chonghua Liao, Mingkuan Feng, et al.*2026 · 8 citations* 4. **[Zero-Label Prompt Selection ↗](https://arxiv.org/abs/2211.04668) arXiv (Cornell University) · no summary yet**Chonghua Liao, Yanan Zheng, Zhilin Yang*2022 · 7 citations* 5. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models ↗](https://aclanthology.org/2026.acl-long.135/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jinyang Wu et al.*2026* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Angang Du](https://md.research.elamur.ai/free/en/authors/angang-du/) - [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/) - [Bowei Xing](https://md.research.elamur.ai/free/en/authors/bowei-xing/) - [Cheng Chen](https://md.research.elamur.ai/free/en/authors/cheng-chen/) - [Cheng Li](https://md.research.elamur.ai/free/en/authors/cheng-li/) - [Chenjun Xiao](https://md.research.elamur.ai/free/en/authors/chenjun-xiao/) - [Chenzhuang Du](https://md.research.elamur.ai/free/en/authors/chenzhuang-du/) - [Congcong Wang](https://md.research.elamur.ai/free/en/authors/congcong-wang/) - [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/) - [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/) - [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/) - [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2 - [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 450 times (of the 149,439 papers whose bibliographies we read); [140 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chonghua-liao/cited-by/). Updated 31 October 2026