Tam, Z.R., Wu, C.K., & Chen, Y.N. (2025). "None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering." arXiv preprint arXiv:2503.01550.
Wu, C.K., Tam, Z.R., Lin, C.Y., Chen, Y.N., & Lee, H. (2024). "Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models." arXiv preprint arXiv:2503.01332.
Wu, C.C., Tam, Z.R., Lin, C.Y., Lee, H.Y., & Chen, Y.N. (2025). "Clear Minds Think Alike: What Makes LLM Fine-tuning Robust? A Study of Token Perplexity." arXiv preprint arXiv:2501.14315.
Tam, Z.R., Wu, C.K., Tsai, Y.L., Lin, C.Y., Lee, H., & Chen, Y.N. (2024). "Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance." EMNLP Industry Track, 1218-1236.
Wu, C.K., Tam, Z.R., Wu, C.C., Lin, C.Y., Lee, H., & Chen, Y.N. (2024). "I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation." arXiv preprint arXiv:2407.14767.
Chen, Y.H., Tam, Z.R., & Shuai, H.H. (2024). "Personalized EDM Subject Generation via Co-factored User-Subject Embedding." Pacific-Asia Conference on Knowledge Discovery and Data Mining, 55-67.
Tam, Z.R., Pai, Y.T., Lee, Y.W., Chen, J.D., Chu, W.M., Cheng, S., & Shuai, H.H. (2024). "An improved traditional chinese evaluation suite for foundation model." arXiv preprint arXiv:2403.01858.
Köpf, A., Kilcher, Y., von Rütte, D., Anagnostidis, S., Tam, Z.R., et al. (2024). "Openassistant conversations-democratizing large language model alignment." NeurIPS, 36.
Tam, Z.R., Wu, Y.L., & Shuai, H.H. (2022). "Improving entity disambiguation using knowledge graph regularization." Pacific-Asia Conference on Knowledge Discovery and Data Mining, 341-353.
Wu, Y.L., Shuai, H.H., Tam, Z.R., & Chiu, H.Y. (2021). "Gradient normalization for generative adversarial networks." ICCV, 6373-6382.
Song, Y.Z., Tam, Z.R., Chen, H.J., Lu, H.H., & Shuai, H.H. (2020). "Character-preserving coherent story visualization." European Conference on Computer Vision, 18-33.
Podcast at Weaviate Podcast, Taiwan