3 papers
cs.CL2026
STAIR: Semantic-Temporal Automaton for Interpretable Reasoning in Temporal Question Answering
Xinlong Dai, Jinchuan Zhang, Lei Gao +3
By leveraging large-scale pretraining, LLMs can interpret diverse temporal expressions and question formulations without task-specific training. However, existing prompt-based neur…
cs.LG2026
MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning
Xiangjun Shi, Chong Mu, Jinchuan Zhang +3
Continual temporal knowledge graph (TKG) reasoning aims to continuously incorporate newly emerging facts while preserving previously acquired knowledge. Replay-based continual lear…
cs.CR2025
Look Twice before You Leap: A Rational Framework for Localized Adversarial Anonymization
Donghang Duan, Xu Zheng, Yuefeng He +3
Current LLM-based frameworks for text anonymization usually rely on remote API services from powerful LLMs, which creates an inherent privacy paradox: users must disclose the raw d…