Kangyang Luo - RankMe

41 papers A* 7A 1Journal 27Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding. CoRR Yingli Shen, Wen Lai, Jie Zhou, Xueren Zhang, Yudong Wang, Kangyang Luo, Shuo Wang, Ge Gao, Alexander Fraser, Maosong Sun
2026	J	`jnl`	InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs. CoRR Yuzhuo Bai, Shuzheng Si, Kangyang Luo, Qingyi Wang, Wenhao Li, Gang Chen, Fanchao Qi, Maosong Sun
2026	J	`jnl`	Mitigating OOD overoptimism via in-sample value function in offline reinforcement learning. Neural Networks Wenhui Liu, Kangyang Luo, Zhijian Wu, Shanfeng Hao, Dingjiang Huang
2026	A*	`conf`	Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. AAAI Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	J	`jnl`	A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks. CoRR Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	—	`conf`	Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. ACL (1) Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun
2025	J	`jnl`	Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. CoRR Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun
2025	J	`jnl`	Consistent Assistant Domains Transformer for Source-Free Domain Adaptation. IEEE Trans. Image Process. Renrong Shao, Wei Zhang, Kangyang Luo, Qin Li, Jun Wang
2025	J	`jnl`	Consistent Assistant Domains Transformer for Source-free Domain Adaptation. CoRR Renrong Shao, Wei Zhang, Kangyang Luo, Qin Li, Jun Wang
2025	J	`jnl`	DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection. CoRR Yingli Shen, Wen Lai, Shuo Wang, Xueren Zhang, Kangyang Luo, Alexander Fraser, Maosong Sun
2025	—	`conf`	Document Segmentation Matters for Retrieval-Augmented Generation. ACL (Findings) Zhitong Wang, Cheng Gao, Chaojun Xiao, Yufei Huang, Shuzheng Si, Kangyang Luo, Yuzhuo Bai, Wenhao Li, Tangjian Duan, Chuancheng Lv, Guoshan Lu, Gang Chen, Fanchao Qi, Maosong Sun
2025	A*	`conf`	Enhancing Counterfactual Estimation: A Focus on Temporal Treatments. IJCAI Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao
2025	J	`jnl`	Exploring the Small World of Word Embeddings: A Comparative Study on Conceptual Spaces from LLMs of Different Scales. CoRR Zhu Liu, Ying Liu, Kangyang Luo, Cunliang Kong, Maosong Sun
2025	J	`jnl`	FaithLens: Detecting and Explaining Faithfulness Hallucination. CoRR Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	A*	`conf`	From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora. EMNLP Yingli Shen, Wen Lai, Shuo Wang, Ge Gao, Kangyang Luo, Alexander Fraser, Maosong Sun
2025	J	`jnl`	From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora. CoRR Yingli Shen, Wen Lai, Shuo Wang, Kangyang Luo, Alexander Fraser, Maosong Sun
2025	A*	`conf`	GATEAU: Selecting Influential Samples for Long Context Alignment. EMNLP Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun
2025	—	`conf`	GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion. ACL (Findings) Kangyang Luo, Yuzhuo Bai, Cheng Gao, Shuzheng Si, Zhu Liu, Yingli Shen, Zhitong Wang, Cunliang Kong, Wenhao Li, Yufei Huang, Ye Tian, Xuantang Xiong, Lei Han, Maosong Sun
2025	J	`jnl`	GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion. CoRR Kangyang Luo, Yuzhuo Bai, Cheng Gao, Shuzheng Si, Yingli Shen, Zhu Liu, Zhitong Wang, Cunliang Kong, Wenhao Li, Yufei Huang, Ye Tian, Xuantang Xiong, Lei Han, Maosong Sun
2025	J	`jnl`	ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement. CoRR Kangyang Luo, Yuzhuo Bai, Shuzheng Si, Cheng Gao, Zhitong Wang, Yingli Shen, Wenhao Li, Zhu Liu, Yufeng Han, Jiayi Wu, Cunliang Kong, Maosong Sun
2025	—	`conf`	Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models. ACL (Findings) Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu
2025	J	`jnl`	MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints. CoRR Kangyang Luo, Shuzheng Si, Yuzhuo Bai, Cheng Gao, Zhitong Wang, Cheng Huang, Yingli Shen, Yufeng Han, Wenhao Li, Cunliang Kong, Maosong Sun
2025	J	`jnl`	Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. CoRR Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2024	—	`conf`	An LLM-Enhanced Adversarial Editing System for Lexical Simplification. LREC/COLING Keren Tan, Kangyang Luo, Yunshi Lan, Zheng Yuan, Jinlong Shu
2024	J	`jnl`	An LLM-Enhanced Adversarial Editing System for Lexical Simplification. CoRR Keren Tan, Kangyang Luo, Yunshi Lan, Zheng Yuan, Jinlong Shu
2024	—	`conf`	Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. EMNLP (Findings) Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li
2024	J	`jnl`	Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. CoRR Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li
2024	A*	`conf`	DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. ICDM Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024	J	`jnl`	DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. CoRR Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024	J	`jnl`	Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models. CoRR Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu
2024	J	`jnl`	Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator. CoRR Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024	J	`jnl`	SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models. CoRR Shujuan Zhao, Lingfeng Qiao, Kangyang Luo, Qian-Wen Zhang, Junru Lu, Di Yin
2024	J	`jnl`	Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement. CoRR Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun
2023	A*	`conf`	DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. NeurIPS Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
2023	J	`jnl`	DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. CoRR Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
2023	A	`conf`	Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization. ECAI Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao
2023	J	`jnl`	Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization. CoRR Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao
2023	A*	`conf`	GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CVPR Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao
2023	J	`jnl`	GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CoRR Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao
2022	J	`jnl`	A New L₁ Multi-Kernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost. IEEE Access Xiaojin Xie, Kangyang Luo, Guoqiang Wang
2019	J	`jnl`	An Improved SVM-RFE Based on F-Statistic and mPDC for Gene Selection in Cancer Classification. IEEE Access Kangyang Luo, Guoqiang Wang, Qian Li, Jiyuan Tao