Publications
You can also find my articles on my Google Scholar profile.
1. Yew Ken Chia*, Guizhen Chen*, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing, “Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths”, In EMNLP Findings 2024.
2. Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing, “Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction”, In EMNLP 2024 SiCon Workshop.
3. Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria, “Puz- zleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns”, In ACL Findings 2024.
4. Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing, “SeaLLMs - Large Language Models for Southeast Asia”, In ACL 2024.
5. Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria, “InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models”, In EACL 2024 Scale-LLM Workshop (Best Paper Award, 525 Stars on GitHub).
6. Xingxuan Li*, Ruochen Zhao*, Yew Ken Chia*, Bosheng Ding, Shafiq Joty and Soujanya Poria, Lidong Bing, “Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources”, In ICLR 2023.
7. Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing, “M3Exam: A Mul- tilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models”, In NeurIPS 2023 Datasets and Benchmarks.
8. Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing, “Is GPT-3 a Good Data Annotator?”, In ACL 2023.
9. Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria, “A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach”, In EMNLP 2022.
10. Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si, “RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction”, In ACL Findings 2022.
11. Lu Xu*, Yew Ken Chia*, Lidong Bing, “Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction”, In ACL 2021.
12. Yew Ken Chia, Sam Witteveen, Martin Andrews, “Transformer to CNN: Label-scarce distillation for efficient text classification”, In NIPS 2018 CDNNRIA Workshop.