Guo, Zhijiang

20 publications

TMLR 2026 A Survey on Federated Fine-Tuning of Large Language Models Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, KaHou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-zhong Xu

NeurIPS 2025 AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos

NeurIPS 2025 Activation-Guided Consensus Merging for Large Language Models Yuxuan Yao, Shuqi Liu, Zehua Liu, Qintong Li, Mingyang Liu, Xiongwei Han, Zhijiang Guo, Han Wu, Linqi Song

ICML 2025 Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulić, Nigel Collier

NeurIPS 2025 Atom of Thoughts for Markov LLM Test-Time Scaling Fengwei Teng, Quan Shi, Zhaoyang Yu, Jiayi Zhang, Yuyu Luo, Chenglin Wu, Zhijiang Guo

ICLR 2025 Determine-Then-Ensemble: Necessity of Top-K Union for Large Language Model Ensembling Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song

NeurIPS 2025 EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code Yuhao Qing, Boyu Zhu, Mingzhe Du, Zhijiang Guo, Terry Yue Zhuo, Qianru Zhang, Jie M. Zhang, Heming Cui, Siu Ming Yiu, Dong Huang, See-Kiong Ng, Anh Tuan Luu

ICML 2025 EffiCoder: Enhancing Code Generation in Large Language Models Through Efficiency-Aware Fine-Tuning Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang

ICLR 2025 FormalAlign: Automated Alignment Evaluation for Autoformalization Jianqiao Lu, Yingjia Wan, Yinya Huang, Jing Xiong, Zhengying Liu, Zhijiang Guo

ICLR 2025 OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang

NeurIPS 2025 TimE: A Multi-Level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios Shaohang Wei, Wei Li, Feifan Song, Wen Luo, Tianyi Zhuang, Haochen Tan, Zhijiang Guo, Houfeng Wang

NeurIPS 2024 AutoPSV: Automated Process-Supervised Verifier Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yunlong Feng, Zhijiang Guo

ICLR 2024 DQ-LoRe: Dual Queries with Low Rank Approximation Re-Ranking for In-Context Learning Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang

NeurIPS 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang

NeurIPS 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu

NeurIPS 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

ICLR 2024 Towards Understanding Factual Knowledge of Large Language Models Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

NeurIPS 2023 AVeriTeC: A Dataset for Real-World Claim Verification with Evidence from the Web Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos

NeurIPS 2022 METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets Peilin Zhou, Zeqiang Wang, Dading Chong, Zhijiang Guo, Yining Hua, Zichang Su, Zhiyang Teng, Jiageng Wu, Jie Yang

IJCAI 2020 Learning Latent Forests for Medical Relation Extraction Zhijiang Guo, Guoshun Nan, Wei Lu, Shay B. Cohen