6 papers
T3MAL: Test-Time Fast Adaptation for Robust Multi-Scale Information Diffusion Prediction
Wenting Zhu, Chaozhuo Li, Qingpo Yang +2
Information diffusion prediction (IDP) is a pivotal task for understanding how information propagates among users. Most existing methods commonly adhere to a conventional training-…
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks
Yuefei Lyu, Chaozhuo Li, Xi Zhang +1
Text-attributed graphs (TAGs) integrate textual data with graph structures, providing valuable insights in applications such as social network analysis and recommendation systems.…
Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification
Liwen Zheng, Chaozhuo Li, Zheng Liu +4
Fact verification plays a vital role in combating misinformation by assessing the veracity of claims through evidence retrieval and reasoning. However, traditional methods struggle…
Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression
Liwen Zheng, Chaozhuo Li, Haoran Jia +1
The growing complexity of factual claims in real-world scenarios presents significant challenges for automated fact verification systems, particularly in accurately aggregating and…
Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
Zhihao Tang, Chaozhuo Li, Litian Zhang +1
Early prediction of Mild Cognitive Impairment (MCI) conversion is hampered by a trade-off between immediacy--making fast predictions from a single baseline sMRI--and accuracy--leve…
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
Ziyi Zhou, Xiaoming Zhang, Litian Zhang +6
Existing benchmarks for fake news detection have significantly contributed to the advancement of models in assessing the authenticity of news content. However, these benchmarks typ…