RumorGAL: Graph-anchored LLM for domain-generalized rumor detection
Rumor detection models must remain robust to breaking events that are unseen during training. Although large language models (LLMs) offer strong generalization potential, their text-centric nature makes them vulnerable to spurious textual patterns in noisy social media discussions and leaves them without explicit aware...
Lina Han, Yuhan Qiao, Feiyang Jia et al.
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