--- title: "Liying Cheng — author profile and papers — Elamur Research" description: "Liying Cheng, Shenyang Normal University: 3 papers on Elamur Research (2021–2023), h-index 11 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/liying-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/liying-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Liying Cheng # Liying Cheng Liying Cheng has 3 papers in our library, in 2021–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/), [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Qingyu Tan](https://md.research.elamur.ai/free/en/authors/qingyu-tan/). 3 papers in our library · 2021–2023 [OpenAlex](https://openalex.org/A5100892826) · [ORCID](https://orcid.org/0009-0002-3071-4920) · [**h-index 11**](https://openalex.org/authors/A5100892826) · [52 works](https://openalex.org/works?filter=author.id:A5100892826) · [551 citations](https://openalex.org/works?filter=author.id:A5100892826&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/liying-cheng/#papers) · [🔗 Cited 271 times in our library](https://md.research.elamur.ai/free/en/authors/liying-cheng/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3683](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3683) 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=Liying+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Liying+Cheng) · [dblp](https://dblp.org/search?q=Liying+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Liying+Cheng) ## Affiliations [🎓**Shenyang Normal University** Shenyang · China 2008–2025 · 10 papers*current*](https://ror.org/05cdfgm80) · [🎓**City University of Macau** Macao · Macao 2025 · 2 papers*current*](https://ror.org/04gpd4q15) · [🏢**Alibaba Group** Hangzhou · China 2022–2024 · 15 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2022–2024 · 14 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** George Town · Cayman Islands 2022–2024 · 7 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🎓**Queen's University** Kingston · Canada 2011–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/queen-s-university/) · [🎓**Northeastern University** Shenyang · China 2005–2012 · 4 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Tianjin University of Traditional Chinese Medicine** Tianjin · China 2022–2023 · 3 papers](https://ror.org/05dfcz246) · [🎓**Queens University** Dhaka · Bangladesh 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/queens-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 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 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2023** 2 papers Liying Cheng's papers of 2023](https://md.research.elamur.ai/free/en/authors/liying-cheng/year/2023/) · [**2021** 1 paper On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/) ## Papers The most cited first (OpenAlex and our library). 1. **[On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/)** *(2021 · 204 citations)* Adapter-based tuning inserts small trainable modules into a frozen pretrained language model (PrLM). Earlier work valued it mainly for saving parameters. This paper asks a different question: when does it actually beat full fine-tuning? The authors use the Houlsby et al. adapter design. Each transformer layer gets… 2. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/)** *(2023 · 119 citations)* This paper asks whether LLMs such as ChatGPT and GPT-4 can take over from human annotators when judging abstractive summaries. 3. **[SeaLLMs — Large Language Models for Southeast Asia](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/)** *(2023 · 92 citations)* Mainstream LLMs are trained mostly on English. As a result, they handle Southeast Asian languages poorly, especially those written in non-Latin scripts, which standard BPE tokenizers break into very long token sequences. SeaLLMs are open models for Southeast Asian languages, built by adapting English-centric… ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruidan He, Linlin Liu, Hai Ye, et al.*2021 · 204 citations* 2. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.*2023 · 119 citations* 3. [**SeaLLMs — Large Language Models for Southeast Asia arXiv:2312.00738**Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/) 4. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://arxiv.org/abs/2305.13091) arXiv:2305.13091 · Findings of EMNLP 2023 · original ↗ · no summary yet**Chenhui Shen et al.*2023 · 75 citations* 5. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://aclanthology.org/2025.emnlp-main.469/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yet**Yew Ken Chia et al.*2025 · 21 citations* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/) ×2 - [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×2 - [Qingyu Tan](https://md.research.elamur.ai/free/en/authors/qingyu-tan/) ×2 - [Xuan-Phi Nguyen](https://md.research.elamur.ai/free/en/authors/xuan-phi-nguyen/) ×2 - [Bosheng Ding](https://md.research.elamur.ai/free/en/authors/bosheng-ding/) - [Guanzheng Chen](https://md.research.elamur.ai/free/en/authors/guanzheng-chen/) - [Jianyu Wang](https://md.research.elamur.ai/free/en/authors/jianyu-wang/) - [Linlin Liu](https://md.research.elamur.ai/free/en/authors/linlin-liu/) - [Luo Si](https://md.research.elamur.ai/free/en/authors/luo-si/) - [Ruidan He](https://md.research.elamur.ai/free/en/authors/ruidan-he/) - [Wenxuan Zhang](https://md.research.elamur.ai/free/en/authors/wenxuan-zhang/) - [Xin Li](https://md.research.elamur.ai/free/en/authors/xin-li/) ## 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 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) - Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 271 times (of the 141,840 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/liying-cheng/cited-by/). Updated 24 October 2026