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@ntunlplab @nlplab-best-team

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Brian-Ckwu/README.md

About Me

I'm a researcher, programmer, and licensed medical doctor. Currently, I am a full-time research scientist at Appier AI Research team, with the goal to conceive, execute, articulate, and promote impactful research projects.

Social Links

Skills

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

Experience

  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.

Publications

  1. Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models EMNLP 2024 (Industry Track)
    Zhi Rui Tam*, Cheng-Kuang Wu*, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee†, Yun-Nung Chen† [Paper][Code], 2024.08
  2. I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation EMNLP 2024 (Short Paper)
    Cheng-Kuang Wu*, Zhi Rui Tam*, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen [Paper][Code], 2024.07
  3. StreamBench: Towards Benchmarking Continuous Improvement of Language Agents NeurIPS 2024 (Datasets and Benchmarks)
    Cheng-Kuang Wu*, Zhi Rui Tam*, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee [Paper][Code][Datasets], 2024.06
  4. 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
  5. 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
  6. 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
  7. 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]
  8. 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 † Equal advisorship

Pinned Loading

  1. mtl-icda-ht mtl-icda-ht Public

    Interactive Clinical Diagnostic Assistant for History Taking (ICDA-HT) implemented in a multi-task learning framework

    Python

  2. dsa-2023-spring dsa-2023-spring Public

    The DSA course @NTU (2023 Spring)

    C

  3. os-2023-spring os-2023-spring Public

    The Operating System course (2023 spring) @NTUCSIE

    C

  4. nlplab-best-team/diagnostic-reasoning nlplab-best-team/diagnostic-reasoning Public

    Explore the ability of large language models (LLMs) to perform history taking through diagnostic reasoning, and how to enhance such ability.

    Jupyter Notebook 4

  5. aicup-2022-nlp aicup-2022-nlp Public

    Natural language explanatory sequence labeling contest of the AICUP 2022 competition series.

    Jupyter Notebook

  6. gi-tract-segmentation gi-tract-segmentation Public

    A Kaggle competition about semantic segmentation of GI tract MRI images.

    Python