On Calibration of Graph Neural Networks for Node Classification. - Tong Liu 019; Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Hang Li 010; Volker Tresp (IJCNN, 2022)

Improving fit to human reading times via temperature-scaled surprisal. - Tong Liu 019; Iza Skrjanec; Vera Demberg (CoRR, 2023)

Temperature-scaling surprisal estimates improve fit to human reading times - but does it do so for the "right reasons"? - Tong Liu 019; Iza Skrjanec; Vera Demberg (ACL (1), 2024)

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy. - Yongkang Liu 002; Yiqun Zhang; Qian Li 043; Tong Liu 019; Shi Feng 001; Daling Wang; Yifei Zhang 003; Hinrich Schütze (EMNLP, 2024)

Multimodal Pragmatic Jailbreak on Text-to-image Models. - Tong Liu 019; Zhixin Lai; Gengyuan Zhang; Philip Torr 001; Vera Demberg; Volker Tresp; Jindong Gu (CoRR, 2024)

Multimodal Pragmatic Jailbreak on Text-to-image Models. - Tong Liu 019; Zhixin Lai; Jiawen Wang; Gengyuan Zhang; Shuo Chen 014; Philip Torr 001; Vera Demberg; Volker Tresp; Jindong Gu (ACL (1), 2025)

FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. - Tong Liu 019; Xiao Yu; Wenxuan Zhou; Jindong Gu; Volker Tresp (CoRR, 2025)

Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs. - Gengyuan Zhang; Mingcong Ding; Tong Liu 019; Yao Zhang; Volker Tresp (CoRR, 2025)

Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. - Haokun Chen; Yueqi Zhang; Yuan Bi; Yao Zhang; Tong Liu 019; Jinhe Bi; Jian Lan; Jindong Gu; Claudia Grosser; Denis Krompass; Nassir Navab; Volker Tresp (CoRR, 2025)