| 2025 | Synergizing Multimodal Temporal Knowledge Graphs and Large Language Models for Social Relation Recognition. | Haorui Wang, Zheng Wang, Yuxuan Zhang, Bo Wang, Bin Wu |
| 2025 | NeighXLM: Enhancing Cross-Lingual Transfer in Low-Resource Languages via Neighbor-Augmented Contrastive Pretraining. | Sicheng Wang, Wenyi Wu, Zibo Zhang |
| 2025 | Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry. | Shanshan Wang, Junchao Wu, Fengying Ye, Derek F. Wong, Jingming Yao, Lidia S. Chao |
| 2025 | Improving Context Fidelity via Native Retrieval-Augmented Reasoning. | Suyuchen Wang, Jinlin Wang, Xinyu Wang, Shiqi Li, Xiangru Tang, Sirui Hong, Xiao-Wen Chang, Chenglin Wu, Bang Liu |
| 2025 | RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging. | Bowen Wang, Haiyuan Wan, Liwen Shi, Chen Yang, Peng He, Yue Ma, Haochen Han, Wenhao Li, Tiao Tan, Yongjian Li, Fangming Liu, Yifan Gong, Sheng Zhang |
| 2025 | MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing. | Shiqi Wang, Qi Wang, Runliang Niu, He Kong, Yi Chang |
| 2025 | Language Models as Continuous Self-Evolving Data Engineers. | Peidong Wang, Ming Wang, Zhiming Ma, Xiaocui Yang, Shi Feng, Daling Wang, Yifei Zhang, Kaisong Song |
| 2025 | Trustworthy Medical Question Answering: An Evaluation-Centric Survey. | Yinuo Wang, Baiyang Wang, Robert E. Mercer, Frank Rudzicz, Sudipta Singha Roy, Pengjie Ren, Zhumin Chen, Xindi Wang |
| 2025 | How Sememic Components Can Benefit Link Prediction for Lexico-Semantic Knowledge Graphs? | Hansi Wang, Yue Wang, Qiliang Liang, Yang Liu |
| 2025 | Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation. | Qingsong Wang, Tao Wu, Wang Lin, Yueying Feng, Gongsheng Yuan, Chang Yao, Jingyuan Chen |
| 2025 | Demystifying Multilingual Reasoning in Process Reward Modeling. | Weixuan Wang, Minghao Wu, Barry Haddow, Alexandra Birch |
| 2025 | Mixture of LoRA Experts for Continual Information Extraction with LLMs. | Zitao Wang, Xinyi Wang, Wei Hu |
| 2025 | FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter. | Junxi Wang, Yaxiong Wang, Lechao Cheng, Zhun Zhong |
| 2025 | Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models. | Yilin Wang, Heng Wang, Yuyang Bai, Minnan Luo |
| 2025 | BiMax: Bidirectional MaxSim Score for Document-Level Alignment. | Xiaotian Wang, Takehito Utsuro, Masaaki Nagata |
| 2025 | CrystalICL: Enabling In-Context Learning for Crystal Generation. | Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang |
| 2025 | AELC: Adaptive Entity Linking with LLM-Driven Contextualization. | Fang Wang, Zhengwei Tao, Ming Wang, Minghao Hu, Xiaoying Bai |
| 2025 | Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors. | Zhengxiang Wang, Nafis Irtiza Tripto, Solha Park, Zhenzhen Li, Jiawei Zhou |
| 2025 | Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification. | Jikai Wang, Zhenxu Tian, Juntao Li, Qingrong Xia, Xinyu Duan, Zhe-Feng Wang, Baoxing Huai, Min Zhang |
| 2025 | WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? | An-Lan Wang, Jingqun Tang, Lei Liao, Hao Feng, Qi Liu, Xiang Fei, Jinghui Lu, Han Wang, Hao Liu, Yuliang Liu, Xiang Bai, Can Huang |
| 2025 | OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain. | Shuting Wang, Jiejun Tan, Zhicheng Dou, Ji-Rong Wen |
| 2025 | AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. | Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li |
| 2025 | Flexible Thinking for Multimodal Emotional Support Conversation via Reinforcement Learning. | Fanfan Wang, Xiangqing Shen, Jianfei Yu, Rui Xia |
| 2025 | AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents. | Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song |
| 2025 | RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. | Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng |