作者位次 #9/11ACL 2026Findings· Findings of ACL
From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning
Guo Tang · Ke Cheng · HuiMing Fan · Heng Chang · Wenxiang Zheng · Xianhao Ou · Junjia Xiang · Ming Liu · Yujun Zhou · Li Lanyu · Bing Qin
摘要
Temporal Knowledge Graph (TKG) forecasting faces significant challenges due to distribution shifts and poor inductive generalization in parametric models. While Large Language Models (LLMs) offer potent semantic reasoning, existing LLM-based approaches struggle with implicit modality alignment an...