| 2026 | SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification. | Tianyang Zhou, Ziyi Zhang, Haowen Lin, Somesh Jha, Mihai Christodorescu, Kirill Levchenko, Varun Chandrasekaran |
| 2026 | Unified Thinker: A General Reasoning Core for Image Generation. | Sashuai Zhou, Qiang Zhou, Jijin Hu, Hanqing Yang, Yue Cao, Junpeng Ma, Yinchao Ma, Jun Song, Tiezheng Ge, Cheng Yu, Bo Zheng, Zhou Zhao |
| 2026 | Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation. | Jiawei Zhou, Chi Zhang, Xiang Feng, Qiming Zhang, Haibo Qiu, Lihuo He, Dengpan Ye, Xinbo Gao, Jing Zhang |
| 2026 | FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering. | Yixi Zhou, Fan Zhang, Y. U. Chen, Haipeng Zhang, Preslav Nakov, Zhuohan Xie |
| 2026 | Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL. | Le Zhou, Feng Yao, Fengcai Qiao, Bo Xu, Fangyuan Wang, Boyan Xu |
| 2026 | Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG. | Chuang Zhou, Zheng Yuan, Linhao Luo, Zhaozhuo Xu, Yilin Xiao, Junnan Dong, Siyu An, Di Yin, Xing Sun, Xiao Huang |
| 2026 | CaTS-Bench: Can Language Models Describe Time Series? | Luca Zhou, Pratham Yashwante, Marshall Fisher, Alessio Sampieri, Zihao Zhou, Fabio Galasso, Rose Yu |
| 2026 | LEPO: Latent Reasoning Policy Optimization for Large Language Models. | Yuyan Zhou, Jiarui Yu, Hande Dong, Zhezheng Hao, Hong Wang, Jianqing Zhang, Qiang Lin |
| 2026 | How to Set the Learning Rate for Large-Scale Pre-training? | Yunhua Zhou, Shuhao Xing, Junhao Huang, Xipeng Qiu, Qipeng Guo |
| 2026 | Deputy: Accelerating Large Language Model Inference with Dynamic Low-Rank Substitution. | Yuhua Zhou, Shichao Weng, Changhai Zhou, Yuhan Wu, Qian Qiao, Jun Gao, Fei Yang, Aimin Pan |
| 2026 | SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator. | Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie, Yongtian Xu, Lixing Chen, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun |
| 2026 | Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts. | Jing Zhou, Peng Wang, Wenjun Ke, Jiajun Liu, Yao He |
| 2026 | EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving. | Xiyuan Zhou, Xinlei Wang, Yirui He, Ruixi Zou, Yang Wu, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao |
| 2026 | CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models. | Shengli Zhou, Xiangchen Wang, Guanhua Chen, Feng Zheng |
| 2026 | ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients". | Zhongyi Zhou, Kohei Uehara, Haoyu Zhang, Jingtao Zhou, Lin Gu, Ruofei Du, Zheng Xu, Tatsuya Harada |
| 2026 | AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-Judge. | Karen Zhou, Chenhao Tan |
| 2026 | GASim: A Graph-Accelerated Hybrid Framework for Social Simulation. | Xuan Zhou, Yanhui Sun, Hantao Yao, Allen He, Yongdong Zhang, Wu Liu |
| 2026 | Compatibility-Aware Dynamic Fine-Tuning for Large Language Models. | Yucheng Zhou, Junwei Sheng, Qianning Wang, Jianbing Shen |
| 2026 | ACSE: An Ancient Character Semantic-Aware Embedding for Large Language Models. | Zhihan Zhou, Daqian Shi, Lida Shi, Rui Song, Peiqiang Qiu, Xiaolei Diao, Hao Xu |
| 2026 | From Attack Surfaces to Actual Operations: A Survey of Modern LLM Jailbreaks. | Ruikang Zhou, Changsheng Sun, Mark Huasong Meng |
| 2026 | Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity. | Yucheng Zhou, Jianbing Shen |
| 2026 | Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation. | Wei Zhou, Bolei Ma, Annemarie Friedrich, Mohsen Mesgar |
| 2026 | CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models. | Zhenhong Zhou, Zherui Li, Jie Zhang, Yuanhe Zhang, Kun Wang, Yang Liu, Qing Guo |
| 2026 | Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning. | Qin Zhou, Guoyan Liang, Qianyi Yang, Jingyuan Chen, Sai Wu, Chang Yao, Zhe Wang |
| 2026 | Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference. | Xuwen Zhou, Fangxin Liu, Chao Wang, Xiao Zheng, Hao Zheng, Min He, Li Jiang, Haibing Guan |