Complex temporal knowledge graph question answering (TKGQA) requires composing multiple time-dependent facts under constraints such as validity intervals, temporal ordering, overlap, and set-style operations. Recent LLM-based approaches improve temporal reasoning through retrieval, decomposition, or planning, but the t...
Shi-Qi Fan, Shi-Yue Li, Xiang-Zhi Mao et al.· Proceedings of the 35th ACM...· 0 citations
Experiments on three benchmarks demonstrate that BotVA achieves state-of-the-art accuracy and F1-score, exhibits strong robustness under camouflage perturbations, and maintains competitive performance with limited supervision.
Long-Long Zhang, Xi Wang, Hong-Yi Nie et al.· Proceedings of the Thirty-Fi...· 0 citations
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