I am a Ph.D. student at Informatics department at LMU Munich in Germany. Previously, I obtained my master at LMU Munich in Physics. My current research interests focus on LLM training and alignment.

Contact me (for any reason): Liu@dbs.ifi.lmu.de

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7. [Agent] [Safety] Deep Research Brings Deeper Harm

Shuo Chen, Zonggen Li, Zhen Han, Bailan He, Tong Liu, Haokun Chen, Georg Groh, Philip Torr, Volker Tresp, Jindong Gu

Conference on Language Modeling (COLM), 2026.

arXiv   

6. [Agent] [RL] On Effectiveness and Efficiency of Agentic Tool-calling and RL Training

Tong Liu, Cheng Qian, Matej Cief, Yuan He, Daniele Dan, Nikolaos Aletras, Gabriella Kazai

International Conference on Machine Learning (ICML), 2026.

arXiv   

5. [LLMs] [Alignment] FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings

Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp

Association for Computational Linguistics (ACL) main, 2025.

arXiv    code

4. [Multimodal] [Safety] Multimodal Pragmatic Jailbreak on Text-to-image Models

Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu

Association for Computational Linguistics (ACL) main, 2025; ReGenAI@CVPR (Best paper award 🏆), 2025.

arXiv    code

3. [LLMs] [PEFT] HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy

Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

Empirical Methods in Natural Language Processing (EMNLP) main, 2024.

arXiv    code

1. [Graph] [Calibration] On Calibration of Graph Neural Networks for Node Classification

Tong Liu*, Yushan Liu*, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp

International Joint Conference on Neural Networks (IJCNN) (Oral), 2022.

arXiv    code