Preprint
Aug 2026
STAIR: Semantic-Temporal Automaton for Interpretable Reasoning in Temporal Question Answering
By leveraging large-scale pretraining, LLMs can interpret diverse temporal expressions and question formulations without task-specific training. However, existing prompt-based neuro-symbolic systems continue to rely on LLMs for both semantic interpretation and exact temporal inference. Consequently, discrete decisions...
Xin-Long Dai, Jin-Chuan Zhang, Lei Gao et al.
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