Fast aerodynamics prediction of steady flow around the airfoil based on dual-path feature fusion neural network
Zhicheng Gong, Zhinan Dong, Zili Xu, Lu Cheng, Xue Qi, X. Kong
3 papers indexed
Zhicheng Gong, Zhinan Dong, Zili Xu, Lu Cheng, Xue Qi, X. Kong
Fangxu Yu, Tao Feng, Dehai Min, Lu Cheng, Ge Liu, Tianyi Zhou
Time series reasoning is essential for real-world problem-solving. While both Large Language Models (LLMs) and Vision-Language Models (VLMs) can reason about time-series data, their capabilities are complementary: LLMs process time series as text sequences and thus preserve exact…
Shiping Yang, Shining Liang, Weihao Liu, Wenbiao Ding, Linjun Shou, Lu Cheng, et al.
Identifying faithfulness hallucinations in LLM-generated outputs remains challenging due to the scarcity of high-quality annotated data. Recent work relies on advanced LLMs to synthesize training data, including rationales, labels, and hallucinated claims. However, these methods…