αTransfer: Coefficient Transfer for Efficient Model Merging
Huang, S.C., Tam, Z.R., Lin, C.Y., Chen, Y.N., Lee, H.Y., & Sun, S.H. (2026). "αTransfer: Coefficient Transfer for Efficient Model Merging." arXiv preprint arXiv:2610.07819.
CV
Education
- PhD in CSIE PhD (Year 2)
- M.S. in ECE NYCU (NCTU)
- B.S. in ECE NCTU
Publications
TasteRoute: Personalized Routing for Video Generation
Tam, Z.R., Wu, C.C., Yang, S.H., Ku, P., Kuang, B., Hsieh, T.T., Hsu, M.F., Tsai, F.L., Chen, Y.N., Ma, W.C., & Lin, C.Y. (2026). "TasteRoute: Personalized Routing for Video Generation." arXiv preprint arXiv:2610.05896.
Joint Optimization of Tool Creation and Use for Large Language Model Agents
Tam, Z.R., Lin, C.Y., Chen, Y.N., Sun, S.H., & Lee, H.Y. (2026). "Joint Optimization of Tool Creation and Use for Large Language Model Agents." NeurIPS.
MedVoiceBias: A Controlled Study of Audio LLM Behavior in Clinical Decision-Making
Tam, Z.R., & Chen, Y.N. (2026). "MedVoiceBias: A Controlled Study of Audio LLM Behavior in Clinical Decision-Making." In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Expected Harm: Rethinking Safety Evaluation of (Mis) Aligned LLMs
Chen, Y.S., Tam, Z.R., Wu, C.K., & Chen, Y.N. (2026). "Expected Harm: Rethinking Safety Evaluation of (Mis) Aligned LLMs." NeurIPS 2026 (Spotlight).
The Context Trap: Why End-to-End Audio Language Models Fail Multi-turn Dialogues
Tam, Z.R., Chang, W.Y., & Chen, Y.N. (2026). "The Context Trap: Why End-to-End Audio Language Models Fail Multi-turn Dialogues." In Proceedings of the 16th International Workshop on Spoken Dialogue System Technology, pages 76–82, Trento, Italy.
VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in Taiwan
Tam, Z.R., Shih, Y.Y., Lee, Y.W., Pai, Y.T., Chang, W.Y., & Chen, Y.N. (2026). "VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in Taiwan." In Findings of the Association for Computational Linguistics: ACL 2026, pages 36711-36756.
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering
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.
Answer, Refuse, or Guess? Investigating Risk-Aware Decision Making in Language Models
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.
Clear Minds Think Alike: What Makes LLM Fine-tuning Robust? A Study of Token Perplexity
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.
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance
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.
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation
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.
Personalized EDM Subject Generation via Co-factored User-Subject Embedding
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.
An improved traditional chinese evaluation suite for foundation model
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.
Openassistant conversations-democratizing large language model alignment
Köpf, A., Kilcher, Y., von Rütte, D., Anagnostidis, S., Tam, Z.R., et al. (2024). "Openassistant conversations-democratizing large language model alignment." NeurIPS, 36.
Improving entity disambiguation using knowledge graph regularization
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.
Gradient normalization for generative adversarial networks
Wu, Y.L., Shuai, H.H., Tam, Z.R., & Chiu, H.Y. (2021). "Gradient normalization for generative adversarial networks." ICCV, 6373-6382.
Character-preserving coherent story visualization
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.
Talks
Let Me Speak Freely? with Zhi Rui Tam - Weaviate Podcast #108!
Podcast at Weaviate Podcast, Taiwan
Teaching
Service and leadership
- Currently signed in to 43 different slack teams