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cs.LG2025
Learning Marked Temporal Point Process Explanations based on Counterfactual and Factual Reasoning
Sishun Liu, Ke Deng, Xiuzhen Zhang +1
Neural network-based Marked Temporal Point Process (MTPP) models have been widely adopted to model event sequences in high-stakes applications, raising concerns about the trustwort…
cs.CL2025
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques
Xiaofei Xu, Xiuzhen Zhang, Ke Deng
Fake news and misinformation poses a significant threat to society, making efficient mitigation essential. However, manual fact-checking is costly and lacks scalability. Large Lang…