--- title: "Yew Ken Chia — author profile and papers — Elamur Research" description: "Yew Ken Chia: 5 papers on Elamur Research (2021–2023), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yew-ken-chia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yew-ken-chia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yew Ken Chia # Yew Ken Chia Yew Ken Chia has 5 papers in our library, in 2021–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Soujanya Poria](https://md.research.elamur.ai/free/en/authors/soujanya-poria/), [Bosheng Ding](https://md.research.elamur.ai/free/en/authors/bosheng-ding/). 5 papers in our library · 2021–2023 [OpenAlex](https://openalex.org/A5087486426) · [**h-index 12**](https://openalex.org/authors/A5087486426) · [29 works](https://openalex.org/works?filter=author.id:A5087486426) · [657 citations](https://openalex.org/works?filter=author.id:A5087486426&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/#papers) · [🔗 Cited 643 times in our library](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2717](https://md.research.elamur.ai/free/en/paper-stars/page/28/#star-2717) 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=Yew+Ken+Chia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yew+Ken+Chia) · [dblp](https://dblp.org/search?q=Yew+Ken+Chia) · [ACL Anthology](https://aclanthology.org/search/?q=Yew+Ken+Chia) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2021–2024 · 6 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2021–2024 · 5 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 2021–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🏢**Alibaba Group** George Town · Cayman Islands 2021–2024 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 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 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2023** 2 papers Yew Ken Chia's papers of 2023](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/year/2023/) · [**2022** 2 papers Yew Ken Chia's papers of 2022](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/year/2022/) · [**2021** 1 paper Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/) ## Papers The most cited first (OpenAlex and our library). 1. **[Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/)** *(2021 · 246 citations)* Aspect Sentiment Triplet Extraction (ASTE) asks a system to find, in a single pass, an aspect target, the opinion term about it, and the resulting sentiment. 2. **[Is GPT-3 a Good Data Annotator?](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/)** *(2022 · 145 citations)* Labeling training data is expensive, which keeps supervised NLP out of reach for many small companies, academic labs and nonprofits. 3. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/)** *(2022 · 141 citations)* Most relation extraction systems need large annotated datasets and only handle a fixed set of relation types. 4. **[INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models](https://md.research.elamur.ai/free/en/papers/chia-2023-instructeval-towards-holistic-evaluation-instruction/)** *(2023 · 92 citations)* Instruction-tuned LLMs such as GPT-4 are widely used, but their real abilities are hard to judge. Many are closed systems, and open-source releases often come with informal claims, such as matching most of ChatGPT's quality, that lack solid evidence. The authors propose INSTRUCTEVAL, an evaluation suite that tests… 5. **[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 10 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lu Xu, Yew Ken Chia, Lidong Bing*2021 · 246 citations* 2. **[M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models](https://arxiv.org/abs/2306.05179) arXiv:2306.05179 · original ↗ · no summary yet**Wenxuan Zhang et al.*2023 · 146 citations* 3. [**Is GPT-3 a Good Data Annotator? arXiv:2212.10450**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/) 4. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.*2022 · 141 citations* 5. **[Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources](https://arxiv.org/abs/2305.13269) arXiv:2305.13269 · original ↗ · no summary yet**Xingxuan Li et al.*2023 · 110 citations* 6. [**INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models arXiv:2306.04757**Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/chia-2023-instructeval-towards-holistic-evaluation-instruction/) 7. [**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/) 8. **[Contrastive Chain-of-Thought Prompting](https://arxiv.org/abs/2311.09277) arXiv:2311.09277 · original ↗ · no summary yet**Yew Ken Chia et al.*2023 · 45 citations* 9. **[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* 10. **[Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions](https://aclanthology.org/2025.acl-long.223/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Ruochen Zhao et al.*2025 · 15 citations* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×4 - [Soujanya Poria](https://md.research.elamur.ai/free/en/authors/soujanya-poria/) ×2 - [Bosheng Ding](https://md.research.elamur.ai/free/en/authors/bosheng-ding/) - [Boyang Li](https://md.research.elamur.ai/free/en/authors/boyang-li/) - [Chengwei Qin](https://md.research.elamur.ai/free/en/authors/chengwei-qin/) - [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/) - [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/) - [Lu Xu](https://md.research.elamur.ai/free/en/authors/lu-xu/) - [Luo Si](https://md.research.elamur.ai/free/en/authors/luo-si/) ## 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/) ×2: [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 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) - Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 643 times (of the 141,840 papers whose bibliographies we read); [69 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/cited-by/). Updated 24 October 2026