Character-Preserving Coherent Story Visualization. - Yun-Zhu Song; Zhi Rui Tam; Hung-Jen Chen 001; Huiao-Han Lu; Hong-Han Shuai (ECCV (17), 2020)

Gradient Normalization for Generative Adversarial Networks. - Yi-Lun Wu; Hong-Han Shuai; Zhi Rui Tam; Hong-Yu Chiu (ICCV, 2021)

Improving Entity Disambiguation Using Knowledge Graph Regularization. - Zhi Rui Tam; Yi-Lun Wu; Hong-Han Shuai (PAKDD (1), 2022)

OpenAssistant Conversations - Democratizing Large Language Model Alignment. - Andreas Köpf; Yannic Kilcher; Dimitri von Rütte; Sotiris Anagnostidis; Zhi Rui Tam; Keith Stevens; Abdullah Barhoum; Duc Nguyen; Oliver Stanley; Richárd Nagyfi; Shahul ES; Sameer Suri; et al. (NeurIPS, 2023)

OpenAssistant Conversations - Democratizing Large Language Model Alignment. - Andreas Köpf; Yannic Kilcher; Dimitri von Rütte; Sotiris Anagnostidis; Zhi Rui Tam; Keith Stevens; Abdullah Barhoum; Nguyen Minh Duc; Oliver Stanley; Richárd Nagyfi; Shahul ES; Sameer Suri; et al. (CoRR, 2023)

Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. - Zhi Rui Tam; Cheng-Kuang Wu; Yi-Lin Tsai; Chieh-Yen Lin; Hung-yi Lee; Yun-Nung Chen (EMNLP (Industry Track), 2024)

I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. - Cheng-Kuang Wu; Zhi Rui Tam; Chao-Chung Wu; Chieh-Yen Lin; Hung-yi Lee; Yun-Nung Chen (EMNLP, 2024)

StreamBench: Towards Benchmarking Continuous Improvement of Language Agents. - Cheng-Kuang Wu; Zhi Rui Tam; Chieh-Yen Lin; Yun-Nung Chen; Hung-yi Lee (NeurIPS, 2024)

Personalized EDM Subject Generation via Co-factored User-Subject Embedding. - Yu-Hsiu Chen; Zhi Rui Tam; Hong-Han Shuai (PAKDD (2), 2024)

An Improved Traditional Chinese Evaluation Suite for Foundation Model. - Zhi Rui Tam; Ya-Ting Pai; Yen-Wei Lee; Sega Cheng; Hong-Han Shuai (CoRR, 2024)

Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models. - Zhi Rui Tam; Cheng-Kuang Wu; Yi-Lin Tsai; Chieh-Yen Lin; Hung-yi Lee; Yun-Nung Chen (CoRR, 2024)

None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering. - Zhi Rui Tam; Cheng-Kuang Wu; Chieh-Yen Lin; Yun-Nung Chen (ACL (Findings), 2025)

Clear Minds Think Alike: What Makes LLM Fine-tuning Robust? A Study of Token Perplexity. - Chao-Chung Wu; Zhi Rui Tam; Chieh-Yen Lin; Hung-yi Lee; Yun-Nung Chen (CoRR, 2025)

Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models. - Cheng-Kuang Wu; Zhi Rui Tam; Chieh-Yen Lin; Yun-Nung Chen; Hung-yi Lee (CoRR, 2025)

None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering. - Zhi Rui Tam; Cheng-Kuang Wu; Chieh-Yen Lin; Yun-Nung Chen (CoRR, 2025)

VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan. - Zhi Rui Tam; Ya-Ting Pai; Yen-Wei Lee; Yun-Nung Chen (CoRR, 2025)

Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? - Zhi Rui Tam; Cheng-Kuang Wu; Yu Ying Chiu; Chieh-Yen Lin; Yun-Nung Chen; Hung-yi Lee (CoRR, 2025)