2 papers
cs.CL2026
Double-Calibration: Towards Reliable LLMs via Calibrating Knowledge and Reasoning Confidence
Yuyin Lu, Ziran Liang, Yanghui Rao +3
Reliable reasoning in Large Language Models (LLMs) is challenged by their propensity for hallucination. While augmenting LLMs with Knowledge Graphs (KGs) improves factual accuracy,…
cs.LG2025
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
Ziran Liang, Rui An, Wenqi Fan +2
As time evolves, data within specific domains exhibit predictability that motivates time series forecasting to predict future trends from historical data. However, current deep for…