Guo, Jiacheng

12 publications

ICLR 2026 FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Yixiao Tian, Wangjinpeng.Levi, Zaiyuan Wang, YangYang, Lingyue Yin, Mingren Yin, Zhu Zhenwei, Tianle Cai, Xinjie Chen, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Nishuang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, 周欣, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang
AAAI 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin, Tianyun Zhang
ICLRW 2025 MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
ICLRW 2025 Temporal Consistency for LLM Reasoning Process Error Identification Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang
ICML 2024 Bifurcated Attention for Single-Context Large-Batch Sampling Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
ICML 2024 Information-Directed Pessimism for Offline Reinforcement Learning Alec Koppel, Sujay Bhatt, Jiacheng Guo, Joe Eappen, Mengdi Wang, Sumitra Ganesh
ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations in Hindsight Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
ICMLW 2023 On IO-Efficient Attention Mechanisms: Context-Aware Bifurcated Attention and the Generalized Multi-Group Attention Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Liangfu Chen, Jiacheng Guo, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang
ICML 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
ICMLW 2023 Sample-Efficient Learning of POMDPs with Multiple Observations in Hindsight Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
ICCV 2023 Tracking Without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao