Shining Liang - RankMe

25 papers A* 2A 1B 2C 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning. CoRR Jie Deng, Hanshuang Tong, Jun Li, Shining Liang, Ning Wu, Hongzhi Li, Yutao Xie
2026	J	`jnl`	ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure. CoRR Jie Deng, Shining Liang, Jun Li, Hongzhi Li, Yutao Xie
2025	J	`jnl`	MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads. CoRR Weihao Liu, Ning Wu, Shiping Yang, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang
2025	J	`jnl`	PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch. CoRR Shangjian Yin, Shining Liang, Wenbiao Ding, Yuli Qian, Zhouxing Shi, Hongzhi Li, Yutao Xie
2025	J	`jnl`	Quantifying the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data. CoRR Shiping Yang, Jie Wu, Wenbiao Ding, Ning Wu, Shining Liang, Ming Gong, Hengyuan Zhang, Dongmei Zhang
2025	B	`conf`	Selected Languages are All You Need for Cross-lingual Truthfulness Transfer. COLING Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang
2024	J	`jnl`	Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies. CoRR Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang
2023	J	`jnl`	Dynamic item feature modeling for rating prediction in recommender systems. Neurocomputing Xianglin Zuo, Shining Liang, Xiaosong Yuan, Shuang Yu, Bo Yang
2023	J	`jnl`	Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. CoRR Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li
2023	—	`conf`	Large Language Models are Diverse Role-Players for Summarization Evaluation. NLPCC (1) Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang
2023	J	`jnl`	Large Language Models are Diverse Role-Players for Summarization Evaluation. CoRR Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang
2022	J	`jnl`	A Word-Granular Adversarial Attacks Framework for Causal Event Extraction. Entropy Yu Zhao, Wanli Zuo, Shining Liang, Xiaosong Yuan, Yijia Zhang, Xianglin Zuo
2022	J	`jnl`	A multi-level neural network for implicit causality detection in web texts. Neurocomputing Shining Liang, Wanli Zuo, Zhenkun Shi, Sen Wang, Junhu Wang, Xianglin Zuo
2022	A*	`conf`	Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. EMNLP Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang
2022	J	`jnl`	Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang
2021	A	`conf`	CalibreNet: Calibration Networks for Multilingual Sequence Labeling. WSDM Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang
2021	A*	`conf`	Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. KDD Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang
2021	J	`jnl`	Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. CoRR Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang
2020	B	`conf`	A Review of Dataset and Labeling Methods for Causality Extraction. COLING Jinghang Xu, Wanli Zuo, Shining Liang, Xianglin Zuo
2020	J	`jnl`	CalibreNet: Calibration Networks for Multilingual Sequence Labeling. CoRR Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang
2020	J	`jnl`	IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units. IEEE Access Zhenkun Shi, Wanli Zuo, Shining Liang, Xianglin Zuo, Lin Yue, Xue Li
2020	J	`jnl`	Joint Personalized Markov Chains with social network embedding for cold-start recommendation. Neurocomputing Yijia Zhang, Zhenkun Shi, Wanli Zuo, Lin Yue, Shining Liang, Xue Li
2019	—	`conf`	DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis. DASFAA (2) Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang
2019	C	`conf`	Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction. ADMA Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang
2018	—	`conf`	Social Bayesian Personal Ranking for Missing Data in Implicit Feedback Recommendation. KSEM (1) Yijia Zhang, Wanli Zuo, Zhenkun Shi, Lin Yue, Shining Liang