| 2026 | Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation. | Bo Li, Zhenghua Xu, Rui Xie |
| 2026 | State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning. | Songlin Li, Wei Xiao, Hao Wu, Xiaodan Zhang, Daolong An, Shuai L |
| 2026 | Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection. | Xiaoxiang Li, Xihe Xie, Hai Wan, Xibin Zhao |
| 2026 | Detecting Fake News in Short Videos Through Multi-View Aggregation. | Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang |
| 2026 | Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection. | Kai Li, Wei Wang, Linchao Zhang, Siying Zhu, Wenqi Ren |
| 2026 | Dual-Phase Visual-Language Pretraining and Adaptation for Long-Tailed Multi-Label Recognition. | Yongcheng Li, Xuekuan Wang, Zhifei Zhang, Cairong Zhao |
| 2026 | TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching. | Yuan-Ming Li, An-Lan Wang, Ling-An Zeng, Kun-Yu Lin, Yu-Ming Tang, Weishi Zheng |
| 2026 | Learning a Fix and Explore Framework for Continuous Generalized Category Discovery. | Chunming Li, Shidong Wang, Haofeng Zhang |
| 2026 | PCoKG: Personality-aware Commonsense Reasoning with Debate. | Weijie Li, Zhongqing Wang, Guodong Zhou |
| 2026 | Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization. | Mengwei Li, Zilei Wang, Yixin Zhang |
| 2026 | MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics. | Jing Li, Yifan Wang, Jiafeng Yan, Renlong Zhang, Bin Yang |
| 2026 | Step-GRPO: Enhancing Reasoning Quality and Efficiency via Structured PRM-Based Reinforcement Learning. | Weijie Li, Jin Wang, Liang-Chih Yu, Xuejie Zhang |
| 2026 | Object-Centric Framework for Video Moment Retrieval. | Zongyao Li, Yongkang Wong, Satoshi Yamazaki, Jianquan Liu, Mohan Kankanhalli |
| 2026 | Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning. | Xiaojing Li, Bin Wang, Xiaochun Yang, Meng Luo |
| 2026 | MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering. | Zhifei Li, Yiran Wang, Chenyi Xiong, Yujing Xia, Xiaoju Hou, Yue Zhao, Miao Zhang, Kui Xiao, Bing Yang |
| 2026 | DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation. | Duanyu Li, Huijun Wu, Min Xie, Kai Lu, Wenzhe Zhang, Zhenwei Wu, Yong Dong, Ruibo Wang |
| 2026 | PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA. | Baisong Li, Xingwang Wang, Haixiao Xu |
| 2026 | RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images. | Ke Li, Di Wang, Ting Wang, Fuyu Dong, Yiming Zhang, Luyao Zhang, Xiangyu Wang, Shaofeng Li, Quan Wang |
| 2026 | C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models. | Lin Li, Yan Wang, Zhuopeng Wang |
| 2026 | CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models. | Jingyao Li, Jingyun Wang, Molin Tan, Haochen Wang, Cilin Yan, Likun Shi, Jiayin Cai, Xiaolong Jiang, Yao Hu |
| 2026 | Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input. | Chenxu Li, Zhicai Wang, Yuan Sheng, Xingyu Zhu, Yanbin Hao, Xiang Wang |
| 2026 | Not All Distortions Are Created Equal: Distortion-Selective Domain Adaptation for Point Cloud Quality Assessment. | Yangwei Li, Xiaochuan Wang, Xin Shang, Haisheng Li |
| 2026 | Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? | Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane |
| 2026 | CoFact: Dynamic Coordination of Attention Heads for Improving Factual Consistency in LLMs. | Shike Li, Xiaokai Wang, Xiaofeng Liu, Xin Tong, Hu Zhang |
| 2026 | Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks. | Yue Li, Weifan Wang, Tai Sing Lee |