Kaiyan Chang

According to our database, Kaiyan Chang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment.

Yingfeng Luo, Hongyu Liu, Dingyang Lin, Kaiyan Chang, Chenglong Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, April, 2026

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning.

Ruixiang Mao, Xiangnan Ma, Dan Chen, Ziming Zhu, Yuan Ge, Aokai Hao, Haishu Zhao, Yifu Huo, Qing Yang, Kaiyan Chang, Xiaoqian Liu, Chenglong Wang, Qiaozhi He, Tong Xiao, Jingbo Zhu

CoRR, March, 2026

APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards.

Kaiyan Chang, Chenwei Zhu, Yingfeng Luo, Yifu Huo, Chenglong Wang, Xiaoqian Liu, Qiaozhi He, Tong Xiao, Zhengtao Yu, Jingbo Zhu

CoRR, February, 2026

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs.

Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, Jingbo Zhu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Beyond English: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs.

Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, Murun Yang, Dingyang Lin, Kaiyan Chang, Tong Zheng, Bei Li, Peinan Feng, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, November, 2025

SUBQRAG: Sub-Question Driven Dynamic Graph RAG.

Jiaoyang Li, Junhao Ruan, Shengwei Tang, Saihan Chen, Kaiyan Chang, Yuan Ge, Tong Xiao, Jingbo Zhu

CoRR, October, 2025

One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging.

Yingfeng Luo, Dingyang Lin, Junxin Wang, Ziqiang Xu, Kaiyan Chang, Tong Zheng, Bei Li, Anxiang Ma, Tong Xiao, Zhengtao Yu, Jingbo Zhu

CoRR, August, 2025

StoryBench: A Dataset for Diverse, Explainable, Multi-hop Narrative Text-to-Image Generation.

Yuan Ge, Kaiyang Ye, Saihan Chen, Aokai Hao, Xiangnan Ma, Kaiyan Chang, Tong Xiao, Jingbo Zhu

Proceedings of the Natural Language Processing and Chinese Computing, 2025

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models.

Kaiyan Chang, Yonghao Shi, Chenglong Wang, Hang Zhou, Chi Hu, Xiaoqian Liu, Yingfeng Luo, Yuan Ge, Tong Xiao, JingBo Zhu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Efficient Prompting Methods for Large Language Models: A Survey.

Kaiyan Chang, Songcheng Xu, Chenglong Wang, Yingfeng Luo, Tong Xiao, Jingbo Zhu

CoRR, 2024

Hybrid Alignment Training for Large Language Models.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu

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

2023

Learning Evaluation Models from Large Language Models for Sequence Generation.

Chenglong Wang, Hang Zhou, Kaiyan Chang, Tongran Liu, Chunliang Zhang, Quan Du, Tong Xiao, Jingbo Zhu

CoRR, 2023