15 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.AI2026
PAEC: Position-Aware Entropy Calibration for LLM Reasoning in RLVR
Shumeng Yang, Yisu Liu, Jiayi Zheng +2
Reinforcement learning with verifiable rewards (RLVR) improves large language model reasoning but often suffers from rapid policy-entropy collapse, where the policy prematurely con…
cs.CL2022★ 2 cited
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang, Jiayi Zheng, Can Xu +4
This paper focuses on the data augmentation for low-resource NLP tasks where the training set is limited. The existing solutions either leverage task-independent heuristic rules (e…
cs.LG2020★ 15 cited
Handling Noisy Labels via One-Step Abductive Multi-Target Learning and Its Application to Helicobacter Pylori Segmentation
Yongquan Yang, Yiming Yang, Jie Chen +2
Learning from noisy labels is an important concern in plenty of real-world scenarios. Various approaches for this concern first make corrections corresponding to potentially noisy-…