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
scE2TM improves single-cell embedding interpretability and reveals cellular perturbation signatures
Hegang Chen, Yuyin Lu, Yifan Zhao +5
Single-cell RNA sequencing technologies have revolutionized our understanding of cellular heterogeneity, yet computational methods often struggle to balance performance with biolog…