--- title: "Qingyu Tan — author profile and papers — Elamur Research" description: "Qingyu Tan, National University of Singapore: 4 papers on Elamur Research (2021–2023), h-index 7 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/qingyu-tan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qingyu-tan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qingyu Tan # Qingyu Tan Qingyu Tan has 4 papers in our library, in 2021–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Hwee Tou Ng](https://md.research.elamur.ai/free/en/authors/hwee-tou-ng/), [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/). 4 papers in our library · 2021–2023 [OpenAlex](https://openalex.org/A5009511025) · [**h-index 7**](https://openalex.org/authors/A5009511025) · [12 works](https://openalex.org/works?filter=author.id:A5009511025) · [456 citations](https://openalex.org/works?filter=author.id:A5009511025&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/qingyu-tan/#papers) · [🔗 Cited 267 times in our library](https://md.research.elamur.ai/free/en/authors/qingyu-tan/cited-by/) · [⭐ Paper Stars ranking: #3007](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3007) 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=Qingyu+Tan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qingyu+Tan) · [dblp](https://dblp.org/search?q=Qingyu+Tan) · [ACL Anthology](https://aclanthology.org/search/?q=Qingyu+Tan) ## Affiliations [🎓**National University of Singapore** Singapore · Singapore 2020–2024 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🏢**Alibaba Group** Hangzhou · China 2020–2024 · 10 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2020–2024 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** George Town · Cayman Islands 2020–2024 · 8 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) · [🎓**Nanyang Technological University** Singapore · Singapore 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information extraction · 2 works](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2023** 1 paper SeaLLMs — Large Language Models for Southeast Asia](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/) · [**2022** 2 papers Qingyu Tan's papers of 2022](https://md.research.elamur.ai/free/en/authors/qingyu-tan/year/2022/) · [**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. **[Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/)** *(2022 · 169 citations)* The paper addresses document-level relation extraction (DocRE), where relations must be identified between every ordered pair of given entities across a whole document. 3. **[Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/)** *(2022 · 151 citations)* DocRED is a standard benchmark for document-level relation extraction. It was built by having annotators filter candidate triples suggested by Wikidata distant supervision and an early RE model. The authors show that this process left many true relations unlabeled, so false negatives are widespread. They trace the… 4. **[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… ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×3 - [Hwee Tou Ng](https://md.research.elamur.ai/free/en/authors/hwee-tou-ng/) ×2 - [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/) ×2 - [Ruidan He](https://md.research.elamur.ai/free/en/authors/ruidan-he/) ×2 - [Bosheng Ding](https://md.research.elamur.ai/free/en/authors/bosheng-ding/) - [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/) - [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/) - [Lu Xu](https://md.research.elamur.ai/free/en/authors/lu-xu/) - [Luo Si](https://md.research.elamur.ai/free/en/authors/luo-si/) - [Wenxuan Zhang](https://md.research.elamur.ai/free/en/authors/wenxuan-zhang/) ## 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/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) ## Cited by Papers of our library cite their works 267 times (of the 141,840 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingyu-tan/cited-by/). Updated 24 October 2026