Kangyang Luo

According to our database, Kangyang Luo authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.

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

CoRR, May, 2025

From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora.

Yingli Shen, Wen Lai, Shuo Wang, Kangyang Luo, Alexander Fraser, Maosong Sun

CoRR, May, 2025

DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection.

Yingli Shen, Wen Lai, Shuo Wang, Xueren Zhang, Kangyang Luo, Alexander Fraser, Maosong Sun

CoRR, February, 2025

Exploring the Small World of Word Embeddings: A Comparative Study on Conceptual Spaces from LLMs of Different Scales.

Zhu Liu, Ying Liu, Kangyang Luo, Cunliang Kong, Maosong Sun

CoRR, February, 2025

Document Segmentation Matters for Retrieval-Augmented Generation.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering.

Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion.

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models.

Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement.

Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun

CoRR, 2024

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator.

Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu

CoRR, 2024

SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models.

Shujuan Zhao, Lingfeng Qiao, Kangyang Luo, Qian-Wen Zhang, Junru Lu, Di Yin

CoRR, 2024

DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.

Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu

Proceedings of the IEEE International Conference on Data Mining, 2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

An LLM-Enhanced Adversarial Editing System for Lexical Simplification.

Keren Tan, Kangyang Luo, Yunshi Lan, Zheng Yuan, Jinlong Shu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.

Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.

Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.

Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A New L₁ Multi-Kernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost.

Xiaojin Xie, Kangyang Luo, Guoqiang Wang

IEEE Access, 2022

2019

An Improved SVM-RFE Based on F-Statistic and mPDC for Gene Selection in Cancer Classification.

Kangyang Luo, Guoqiang Wang, Qian Li, Jiyuan Tao

IEEE Access, 2019