YongKang Liu — papers of 2026 — 7 papers, the most cited first

7 papers · all years of YongKang Liu

SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Peidong Wang, Zhiming Ma, Xin Dai, et al.2026 · 3 citations

Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations

MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment AnalysisFindings of the Association for Computational LinguisticsXingle Xu, YongKang Liu, Dexian Cai, et al.2026 · 1 citation

NEAT: Neuron-Based Early Exit for Large Reasoning ModelsFindings of the Association for Computational LinguisticsKang Liu, YongKang Liu, Xiaocui Yang, et al.2026 · 1 citation

PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMsFindings of the Association for Computational LinguisticsZijing Wang, YongKang Liu, Mingyang Wang, et al.2026 · 1 citation

Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Xingle Xu, Ercong Nie, et al.2026

SAD: A Large-Scale Strategic Argumentative Dialogue DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Jiayang Yu, Mingyang Wang, et al.2026

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🧑‍🔬 YongKang Liu — papers of 2026 — 7 papers, the most cited first

YongKang Liu — papers of 2026 — 7 papers, the most cited first