| 2026 | TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models. | Hao Zhang, Mengsi Lyu, Chenrui He, Yulong Ao, Yonghua Lin |
| 2026 | HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance. | Hao Zhang, Zhenjia Li, Yifan Gao, Xi Xiao, Heng Zhang, Shuyang Zhang, Xiaoxincc, Bo Huang, Yuhang Wu, Tianyang Wang, Hao Xu |
| 2026 | Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards. | Jiajie Zhang, Xin Lv, Ling Feng, Lei Hou, Juanzi Li |
| 2026 | Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal. | Shuyang Zhang, Zhixuan Liu, Zhichen Dong, Hao Zhang, Chaochao Lu, Chao Yang |
| 2026 | Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition. | Qi Zhang, Fangping Lan, Cornelia Caragea, Longin Jan Latecki, Eduard C. Dragut |
| 2026 | AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering. | Taolin Zhang, Dongyang Li, Chen Chen, Qizhou Chen, Jiuheng Wan, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference. | Hao Zhang, Mengsi Lyu, Zhuo Chen, Yulong Ao, Yonghua Lin |
| 2026 | pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware Training. | Wenzheng Zhang, Bingzheng Liu |
| 2026 | Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language Models. | Mengxiang Zhang, Lingyuan Liu |
| 2026 | Aligned Multi-View Scripts for Universal Chart-to-Code Generation. | Zhihan Zhang, Lizi Liao |
| 2026 | Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training. | Mengxiang Zhang, Lingyuan Liu |
| 2026 | Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. | Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang |
| 2026 | CascadeFix: Multi-Location Program Repair via Cascading Planning and Generation. | Huan Zhang, Li Kuang, Yang Yang, Yilei Fang, Yingjie Xia |
| 2026 | GreekMMLU: A Native-Sourced Multitask Benchmark for Evaluating Language Models in Greek. | Yang Zhang, Mersin Konomi, Christos Xypolopoulos, Konstantinos Divriotis, Konstantinos Skianis, Giannis Nikolentzos, Giorgos Stamou, Guokan Shang, Michalis Vazirgiannis |
| 2026 | QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs. | Taolin Zhang, Haidong Kang, Dongyang Li, Qizhou Chen, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects. | Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, Huan Li |
| 2026 | CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA. | Meng Zhang, Ruochun Jin, Yuanxi Peng, Wenjing Yang, Haotian Wang, Liting Sun, Kun Hu, Silin Yang, Zhang Ke-di |
| 2026 | DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints. | Yinger Zhang, Shutong Jiang, Renhao Li, Jianhong Tu, Yang Su, Lianghao Deng, Xudong Guo, Chenxu Lv, Junyang Lin |
| 2026 | ReContraster: Making Your Posters Stand Out with Regional Contrast. | Peixuan Zhang, Zijian Jia, Ziqi Cai, Shuchen Weng, Si Li, Boxin Shi |
| 2026 | FreeChunker: A Cross-Granularity Chunking Framework. | Wenxuan Zhang, Yuan-Hao Jiang, Yang Cao, Yonghe Wu |
| 2026 | DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing. | Yage Zhang, Yukun Jiang, Michael Backes, Yang Zhang |
| 2026 | EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention. | Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang |
| 2026 | SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation. | Xichen Zhang, Ziyi He, Yinghao Zhu, Sitong Wu, Shaozuo Yu, Meng Chu, Wenhu Zhang, Haoru Tan, Jiaya Jia |
| 2026 | DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing. | Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Wei Bi, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai |
| 2026 | GAPO: Robust Advantage Estimation for Real-World Code LLMs. | Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao |