14 citations · 46 across the 21 of their papers we have counts for
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cs.AI2026
Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling
Xuqing Yang, Yi Yuan, Shanzhe Lei +1
Training large language models (LLMs) with reinforcement learning (RL) has significantly advanced their performance on reasoning and question-answering tasks. However, prevailing R…
cs.AI2026
Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration
Yi Yuan, Xuhong Wang, Shanzhe Lei
As agent-based systems continue to evolve, deep research agents are capable of automatically generating research-style reports across diverse domains. While these agents promise to…
cs.AI2026★ 1 cited
STProtein: predicting spatial protein expression from multi-omics data
Zhaorui Jiang, Yingfang Yuan, Lei Hu +1
The integration of spatial multi-omics data from single tissues is crucial for advancing biological research. However, a significant data imbalance impedes progress: while spatial…