Zhi Rui Tam

23 papers A* 4Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expected Harm: Rethinking Safety Evaluation of (Mis)Aligned LLMs.
CoRR
Yen-Shan Chen, Zhi Rui Tam, Cheng-Kuang Wu, Yun-Nung Chen
2026 J jnl
ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks.
CoRR
Samin Mahdizadeh Sani, Max Ku, Nima Jamali, Matina Mahdizadeh Sani, Paria Khoshtab, Wei-Chieh Sun, Parnian Fazel, Zhi Rui Tam, Thomas Chong, Edisy Kin Wai Chan, Donald Wai Tong Tsang, Chiao-Wei Hsu, Ting Wai Lam, Ho Yin Sam Ng, Chiafeng Chu, Chak-Wing Mak, Keming Wu, Hiu Tung Wong, Yik Chun Ho, Chi Ruan, Zhuofeng Li, I-Sheng Fang, Shih-Ying Yeh, Ho Kei Cheng, Ping Nie, Wenhu Chen
2025 J jnl
Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models.
CoRR
Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2025 J jnl
Clear Minds Think Alike: What Makes LLM Fine-tuning Robust? A Study of Token Perplexity.
CoRR
Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2025 J jnl
Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?
CoRR
Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2025 J jnl
MedVoiceBias: A Controlled Study of Audio LLM Behavior in Clinical Decision-Making.
CoRR
Zhi Rui Tam, Yun-Nung Chen
2025 — conf
None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering.
ACL (Findings)
Zhi Rui Tam, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen
2025 J jnl
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering.
CoRR
Zhi Rui Tam, Cheng-Kuang Wu, Chieh-Yen Lin, Yun-Nung Chen
2025 J jnl
VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan.
CoRR
Zhi Rui Tam, Ya-Ting Pai, Yen-Wei Lee, Yun-Nung Chen
2024 J jnl
An Improved Traditional Chinese Evaluation Suite for Foundation Model.
CoRR
Zhi Rui Tam, Ya-Ting Pai, Yen-Wei Lee, Sega Cheng, Hong-Han Shuai
2024 A* conf
I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation.
EMNLP
Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024 J jnl
I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation.
CoRR
Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024 — conf
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance.
EMNLP (Industry Track)
Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024 J jnl
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.
CoRR
Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen
2024 — conf
Personalized EDM Subject Generation via Co-factored User-Subject Embedding.
PAKDD (2)
Yu-Hsiu Chen, Zhi Rui Tam, Hong-Han Shuai
2024 A* conf
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents.
NeurIPS
Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2024 J jnl
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents.
CoRR
Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
2023 A* conf
OpenAssistant Conversations - Democratizing Large Language Model Alignment.
NeurIPS
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, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick
2023 J jnl
OpenAssistant Conversations - Democratizing Large Language Model Alignment.
CoRR
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, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick
2022 — conf
Improving Entity Disambiguation Using Knowledge Graph Regularization.
PAKDD (1)
Zhi Rui Tam, Yi-Lun Wu, Hong-Han Shuai
2021 A* conf
Gradient Normalization for Generative Adversarial Networks.
ICCV
Yi-Lun Wu, Hong-Han Shuai, Zhi Rui Tam, Hong-Yu Chiu
2021 J jnl
Gradient Normalization for Generative Adversarial Networks.
CoRR
Yi-Lun Wu, Hong-Han Shuai, Zhi Rui Tam, Hong-Yu Chiu
2020 — conf
Character-Preserving Coherent Story Visualization.
ECCV (17)
Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai