Cai, Xunliang

18 publications

ICLR 2026 AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations Cheng Jiayang, Dongyu Ru, Lin Qiu, Yiyang Li, Xuezhi Cao, Yangqiu Song, Xunliang Cai

ICLR 2026 Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai

ICLR 2026 Fast Catch-up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu

ICLR 2026 R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai

ICLR 2026 RepSpec: Structural Re-Parameterized Draft Model Training for Speculative Decoding Feiye Huo, Jianchao Tan, Jiahao Liu, Zixu Jiang, Jiacheng Li, Jingang Wang, Xunliang Cai, Shengli Sun

ICLR 2026 Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO Xin Yang, Letian Li, Abudukelimu Wuerkaixi, Xuxin Cheng, Cao Liu, Ke Zeng, Xunliang Cai, Wenyuan Jiang

ICLR 2026 VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-World Applications Wei He, Yueqing Sun, Hongyan Hao, Xueyuan Hao, Zhikang Xia, Qi Gu, Hui Su, Xunliang Cai

ICLR 2025 AgentRefine: Enhancing Agent Generalization Through Refinement Tuning Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma GongQue, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu

ICLR 2025 Earlier Tokens Contribute More: Learning Direct Preference Optimization from Temporal Decay Perspective Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li

AAAI 2025 Enhancing LLMs via High-Knowledge Data Selection Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai

NeurIPS 2025 Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo

NeurIPS 2025 NeedleInATable: Exploring Long-Context Capability of Large Language Models Towards Long-Structured Tables Lanrui Wang, Mingyu Zheng, Hongyin Tang, Zheng Lin, Yanan Cao, Jingang Wang, Xunliang Cai, Weiping Wang

NeurIPS 2025 PrefixKV: Adaptive Prefix KV Cache Is What Vision Instruction-Following Models Need for Efficient Generation Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding

AAAI 2025 S3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao

AAAI 2025 SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu

NeurIPS 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai

AAAI 2024 What Makes Quantization for Large Language Model Hard? an Empirical Study from the Lens of Perturbation Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan

AAAI 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang