| 2026 | Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts. | Christos Ziakas, Nicholas Loo, Nishita Jain, Alessandra Russo |
| 2026 | Dissecting Failure Dynamics in Large Language Model Reasoning. | Wei Zhu, Jian Zhang, Lixing Yu, Kun Yue, Zhiwen Tang |
| 2026 | Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context. | Yilun Zhu, Yuan Zhuang, Nikhita Vedula, Dushyanta Dhyani, Shaoyuan Xu, Mohsen Bayati, Bryan Wang, Shervin Malmasi |
| 2026 | SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction. | Hangxiao Zhu, Yuyu Zhang, Ping Nie, Yu Zhang |
| 2026 | Demystifying Multi-Agent Debate: The Role of Confidence and Diversity. | Xiaochen Zhu, Caiqi Zhang, Yizhou Chi, Tom Stafford, Nigel Collier, Andreas Vlachos |
| 2026 | N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization. | Xukun Zhu, Hang Yu, Peng Di, Linchao Zhu |
| 2026 | OjaKV: Context-Aware Online Low-Rank KV Cache Compression. | Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Pin-Yu Chen |
| 2026 | Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning. | Taojie Zhu, Dongyang Xu, Ding Zou, Sen Zhao, Qiaobo Hao, Zhiguo Yang, Yonghong He |
| 2026 | FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents. | Chiwei Zhu, Benfeng Xu, Mingxuan Du, Shaohan Wang, Xiaorui Wang, Zhendong Mao, Yongdong Zhang |
| 2026 | Hybrid Self-evolving Structured Memory for Computer-Use Agents. | Sibo Zhu, Wenyi Wu, Kun Zhou, Stephen Wang, Biwei Huang |
| 2026 | LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. | Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li |
| 2026 | Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies? | Mengna Zhu, Jibing Wu, Lihua Liu, Yuran Gong, Yang Hao, Yachao Fu, Mao Wang, Lei Hou, Juanzi Li |
| 2026 | WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering. | Yingjian Zhu, Xinming Wang, Kun Ding, Ying Wang, Bin Fan, Shiming Xiang |
| 2026 | Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence Survivors. | Jessica H. Zhu, Shayla Stringfield, Vahe Zaprosyan, Michael Wagner, Michel Cukier, Joseph Richardson Jr. |
| 2026 | APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation. | Pengyun Zhu, Qiheng Sun, Long Wen, Yanbo Wang, Yang Cao, Junxu Liu, Deyi Xiong, Jinfei Liu, Zhibo Wang, Kui Ren |
| 2026 | InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents. | Zhenghao Zhu, Yuanfeng Song, Xing Chen, Chengzhong Liu, Yakun Cui, Caleb Chen Cao, Sirui Han, Yike Guo |
| 2026 | DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping. | Pengyun Zhu, Yuqi Ren, Zhen Wang, Lei Yang, Deyi Xiong |
| 2026 | Lifting Optimized Binaries to Canonical Compiler IR via Structure-Aware Retrieval and Iterative Verification. | Xiaoao Zhu, Jie Ren, Zhiqiang Li, Jie Zheng, Zhanyong Tang, Zheng Wang |
| 2026 | Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection. | Xiaowei Zhu, Yubing Ren, Fang Fang, Shi Wang, Yanan Cao, Li Guo |
| 2026 | When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval. | Tongyao Zhu, Huang Chao Ming, Min-Yen Kan |
| 2026 | DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding. | Dawei Zhu, Rui Meng, Jiefeng Chen, Sujian Li, Tomas Pfister, Jinsung Yoon |
| 2026 | HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents. | Jinchang Zhu, Jindong Li, Cheng Zhang, Jiahong Liu, Menglin Yang |
| 2026 | Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs. | Yihua Zhu, Qianying Liu, Jiaxin Wang, Fei Cheng, Chaoran Liu, Akiko Aizawa, Sadao Kurohashi, Hidetoshi Shimodaira |
| 2026 | How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective. | Tongyao Zhu, Qian Liu, Chang Ma, Jinghan Zhang, Longxu Dou, Junxian He, Shiqi Chen |
| 2026 | On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration. | Huaisheng Zhu, MingYu Liu, Junze Liu, Zhen Ge, Tian Wang, Jiri Gesi, Dakuo Wang, Weiqi Zhang, Houyu Zhang, Yufan Guo, Xian Li, Bing Yin, Sujay Sanghavi |