--- title: "Chaoran Liu — author profile and papers — Elamur Research" description: "Chaoran Liu: 3 papers on Elamur Research (2026), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/chaoran-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chaoran-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chaoran Liu # Chaoran Liu Chaoran Liu has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Qianying Liu](https://md.research.elamur.ai/free/en/authors/qianying-liu/), [Sadao Kurohashi](https://md.research.elamur.ai/free/en/authors/sadao-kurohashi/), [Akiko Aizawa](https://md.research.elamur.ai/free/en/authors/akiko-aizawa/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5101905296) · [ORCID](https://orcid.org/0000-0002-1821-5769) · [**h-index 11**](https://openalex.org/authors/A5101905296) · [16 works](https://openalex.org/works?filter=author.id:A5101905296) · [735 citations](https://openalex.org/works?filter=author.id:A5101905296&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chaoran-liu/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12730](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12730) 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=Chaoran+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chaoran+Liu) · [dblp](https://dblp.org/search?q=Chaoran+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Chaoran+Liu) ## Affiliations [🎓**China Agricultural University** Beijing · China 2016–2020 · 8 papers](https://md.research.elamur.ai/free/en/universities/china-agricultural-university/) · [🎓**Shaanxi University of Science and Technology** Xi'an · China 2019–2020 · 4 papers](https://ror.org/034t3zs45) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/chaoran-liu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning](https://md.research.elamur.ai/free/en/papers/nguyen-2026-bis-reasoning-1-0-first/)** *(2026 · 1 citation)* Large language models often show belief bias: they judge an argument by whether its conclusion sounds plausible rather than by whether it follows logically. 2. **[Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs](https://md.research.elamur.ai/free/en/papers/nakamura-2026-demystifying-mixed-outcomes-self-training/)** *(2026)* Studies of self-training disagree. Some report that LLMs improve when retrained on their own outputs, while others report model collapse. The authors suspect the disagreement comes from different experimental setups: strong models with engineered pipelines on one side, and toy models with unconditional generation on… 3. **[Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs](https://md.research.elamur.ai/free/en/papers/zhu-2026-memorization-emergence-explaining-reversal-failures/)** *(2026)* The paper asks whether autoregressive language models actually learn the logic behind relational words, such as symmetry (friend) and inverse pairs (father/son). ## Co-authors here 9 co-authors with a page, the most papers together first. - [Qianying Liu](https://md.research.elamur.ai/free/en/authors/qianying-liu/) ×2 - [Sadao Kurohashi](https://md.research.elamur.ai/free/en/authors/sadao-kurohashi/) ×2 - [Akiko Aizawa](https://md.research.elamur.ai/free/en/authors/akiko-aizawa/) - [Daisuke Kawahara](https://md.research.elamur.ai/free/en/authors/daisuke-kawahara/) - [Fei Cheng](https://md.research.elamur.ai/free/en/authors/fei-cheng/) - [Hidetoshi Shimodaira](https://md.research.elamur.ai/free/en/authors/hidetoshi-shimodaira/) - [Hideyuki Tachibana](https://md.research.elamur.ai/free/en/authors/hideyuki-tachibana/) - [Hirokazu Kiyomaru](https://md.research.elamur.ai/free/en/authors/hirokazu-kiyomaru/) - [Shuhei Kurita](https://md.research.elamur.ai/free/en/authors/shuhei-kurita/) ## 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/) - [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/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026