Xiangchi Yuan

According to our database, Xiangchi Yuan authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning.

Dachuan Shi, Hanlin Zhu, Xiangchi Yuan, Wanjia Zhao, Kejing Xia, Wen Xiao, Wenke Lee

CoRR, May, 2026

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models.

Kejing Xia, Mingzhe Li, Lixuan Wei, Zhenbang Du, Xiangchi Yuan, Dachuan Shi, Qirui Jin, Wenke Lee

CoRR, March, 2026

MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues.

Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang

CoRR, January, 2026

Behavior Knowledge Merge in Reinforced Agentic Models.

Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, Zheyuan Liu, Shenglong Yao, Soroush Vosoughi, Wenke Lee

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

What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning.

Yaning Jia, Chunhui Zhang, Xingjian Diao, Xiangchi Yuan, Zhongyu Ouyang, Chiyu Ma, Soroush Vosoughi

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

2025

Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training.

Can Jin, Hongwu Peng, Mingcan Xiang, Qixin Zhang, Xiangchi Yuan, Amit Hasan, Ohiremen Dibua, Yifan Gong, Yan Kang, Dimitris N. Metaxas

CoRR, December, 2025

SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs.

Dachuan Shi, Abedelkadir Asi, Keying Li, Xiangchi Yuan, Leyan Pan, Wenke Lee, Wen Xiao

CoRR, October, 2025

Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners.

Xiangchi Yuan, Xiang Chen, Tong Yu, Dachuan Shi, Can Jin, Wenke Lee, Saayan Mitra

CoRR, October, 2025

Steering Multimodal Large Language Models Decoding for Context-Aware Safety.

Zheyuan Liu, Zhangchen Xu, Guangyao Dou, Xiangchi Yuan, Zhaoxuan Tan, Radha Poovendran, Meng Jiang

CoRR, September, 2025

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies.

Matthew Lau, Tian-Yi Zhou, Xiangchi Yuan, Jizhou Chen, Wenke Lee, Xiaoming Huo

CoRR, June, 2025

Superficial Self-Improved Reasoners Benefit from Model Merging.

Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, Dachuan Shi, Soroush Vosoughi, Wenke Lee

CoRR, March, 2025

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models.

Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement.

Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Superficial Self-Improved Reasoners Benefit from Model Merging.

Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, Dachuan Shi, Leyan Pan, Soroush Vosoughi, Wenke Lee

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

Growing Through Experience: Scaling Episodic Grounding in Language Models.

Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, Xiangchi Yuan, Soroush Vosoughi

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

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models.

Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang

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

2024

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment.

Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Graph Cross Supervised Learning via Generalized Knowledge.

Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mitigating Emergent Robustness Degradation while Scaling Graph Learning.

Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

An End-to-End 12-Leading Electrocardiogram Diagnosis System Based on Deformable Convolutional Neural Network With Good Antinoise Ability.

Lang Qin, Yuntao Xie, Xinwen Liu, Xiangchi Yuan, Huan Wang

IEEE Trans. Instrum. Meas., 2021