brian-ckwu Goto Github PK

I'm a researcher, programmer, and licensed medical doctor. I am enthusiastic about developing AI applications and conducting AI research to revolutionize healthcare.

• LinkedIn

• Medicine 💊
• Deep Learning 🧠
• Natural Language Processing 🔤

1. AI Research Scientist @Appier 2024.7 - present
   Conceive, execute, articulate, and promote AI research projects for maximizing both academic and business impacts.
2. LLM Research Scientist Intern @Appier 2024.1 - 2024.7
   Conduct research projects on LLMs.
3. Machine Learning Scientist Intern @Vysioneer 2023.7 - 2023.10
   Develop machine learning algorithms for identifying medical image modalities.

1. StreamBench: Towards Benchmarking Continuous Improvement of Language Agents arXiv preprint
   Cheng-Kuang Wu*, Zhi Rui Tam*, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee [Paper][Code], 2024.06
2. Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024 (Findings Paper)
   Sheng-Lun Wei, Cheng-Kuang Wu, Hen-Hsen Huang, Hsin-Hsi Chen [Paper], 2024.06
3. Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations EMNLP 2023 (Long Paper)
   Wei-Lin Chen*, Cheng-Kuang Wu*, Yun-Nung Chen, Hsin-Hsi Chen [Paper][Code], 2023.10
4. Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation EMNLP 2023 (Short Paper)
   Wei-Lin Chen, Cheng-Kuang Wu, Hsin-Hsi Chen, Chung-Chi Chen [Paper][Code], 2023.10
5. ZARA: Improving Few-Shot Self-Rationalization for Small Language Models EMNLP 2023 (Findings Paper)
   Wei-Lin Chen, An-Zi Yen, Cheng-Kuang Wu, Hen-Hsen Huang, Hsin-Hsi Chen [Paper][Code]
6. Large Language Models Perform Diagnostic Reasoning ICLR 2023 (Tiny Papers)
   Cheng-Kuang Wu*, Wei-Lin Chen*, Hsin-Hsi Chen [Paper][Code], 2023.5

* Equal contribution