2 papers
cs.CL2025
When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
Shaowen Wang, Yiqi Dong, Ruinian Chang +4
Despite substantial advances, large language models (LLMs) continue to exhibit hallucinations, generating plausible yet incorrect responses. In this paper, we highlight a critical…
cs.LG2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
Shuqi Li, Yuebo Sun, Yuxin Lin +3
There are two issues in news-driven multi-stock movement prediction tasks that are not well solved in the existing works. On the one hand, "relation discovery" is a pivotal part wh…