🧑‍🔬 Yew Ken Chia

🏛️ Affiliations

🏢Alibaba GroupHangzhou · China2021–2024 · 6 papers🏢Alibaba DAMO AcademyHangzhou · China2021–2024 · 5 papers🎓Singapore University of Technology and DesignSingapore · Singapore2021–2024 · 5 papers🏢Alibaba GroupGeorge Town · Cayman Islands2021–2024 · 4 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction (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? (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 (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 (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 (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 ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lu Xu, Yew Ken Chia, Lidong Bing2021 · 246 citations
2. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language ModelsarXiv:2306.05179 · original ↗ · no summary yetWenxuan Zhang et al.2023 · 146 citations
3. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 145 citations
4. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionFindings of the Association for Computational LinguisticsYew 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 SourcesarXiv:2305.13269 · original ↗ · no summary yetXingxuan Li et al.2023 · 110 citations
6. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language ModelsarXiv:2306.04757Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.2023 · 92 citations
7. SeaLLMs — Large Language Models for Southeast AsiaarXiv:2312.00738Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.2023 · 92 citations
8. Contrastive Chain-of-Thought PromptingarXiv:2311.09277 · original ↗ · no summary yetYew Ken Chia et al.2023 · 45 citations
9. M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning FrameworkProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetYew Ken Chia et al.2025 · 21 citations
10. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetRuochen Zhao et al.2025 · 15 citations

🤝 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

• Lidong Bing ×4
• Soujanya Poria ×2
• Bosheng Ding
• Boyang Li
• Chengwei Qin
• Chenhui Shen
• Guanzheng Chen
• Jianyu Wang
• Linlin Liu
• Liying Cheng
• Lu Xu
• 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) ×2: ACL 2021
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 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 →.

Updated 24 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yew-ken-chia/