978 citations · 1.3k across the 10 of their papers we have counts for
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cs.AI2026
HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory
Chengda Lu, Xiaoyu Fan, Wei Xu
While Large Language Models (LLMs) achieve strong performance across diverse tasks, their inference dynamics remain poorly understood because of the limited resolution of existing…
cs.AI2025★ 1 cited
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Zhihong Shao, Yuxiang Luo, Chengda Lu +6
Large language models have made significant progress in mathematical reasoning, which serves as an important testbed for AI and could impact scientific research if further advanced…
cs.AI2025
Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking?
Chengda Lu, Xiaoyu Fan, Yu Huang +3
Jailbreak attacks have been observed to largely fail against recent reasoning models enhanced by Chain-of-Thought (CoT) reasoning. However, the underlying mechanism remains underex…