Kangyang Luo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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 |
| 2026 | ACL | ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement. | Kangyang Luo, Yuzhuo Bai, Shuzheng Si, Cheng Gao, Zhitong Wang, Yingli Shen, Wenhao Li, Zhu Liu, Yufeng Han, Jiayi Wu, Cunliang Kong, Maosong Sun |
| 2026 | ACL | MEIC-DT: Memory-Efficient Incremental Clustering for Long-Text Coreference Resolution with Dual-Threshold Constraints. | Kangyang Luo, Shuzheng Si, Yuzhuo Bai, Cheng Gao, Zhitong Wang, Cheng Huang, Yingli Shen, Yufeng Han, Wenhao Li, Cunliang Kong, Maosong Sun |
| 2026 | ACL | FaithLens: Detecting and Explaining Faithfulness Hallucination. | Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2026 | ACL | A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task. | Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | EMNLP | From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora. | Yingli Shen, Wen Lai, Shuo Wang, Ge Gao, Kangyang Luo, Alexander Fraser, Maosong Sun |
| 2025 | EMNLP | GATEAU: Selecting Influential Samples for Long Context Alignment. | Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun |
| 2025 | IJCAI | Enhancing Counterfactual Estimation: A Focus on Temporal Treatments. | Xin Wang, Shengfei Lyu, Kangyang Luo, Lishan Yang, Huanhuan Chen, Chunyan Miao |
| 2024 | COLING | An LLM-Enhanced Adversarial Editing System for Lexical Simplification. | Keren Tan, Kangyang Luo, Yunshi Lan, Zheng Yuan, Jinlong Shu |
| 2024 | EMNLP | 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 |
| 2024 | ICDM | 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 |
| 2023 | CVPR | GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. | Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao |
| 2023 | ECAI | 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 |