| 2025 | DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. | Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang |
| 2025 | From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. | Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Liting Huang, Imran Razzak, Preslav Nakov, Usman Naseem |
| 2025 | Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents. | Xueqiao Zhang, Chao Zhang, Jingtao Xu, Yifan Zhu, Xin Shi, Yi Yang, Yawei Luo |
| 2025 | Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference. | Libo Zhang, Zhaoning Zhang, Xubaizhou, Rui Li, Zhiliang Tian, Songzhu Mei, Dongsheng Li |
| 2025 | MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework. | Zhaodan Zhang, Jin Zhang, Hui Xu, Jiafeng Guo, Xueqi Cheng |
| 2025 | EvolveSearch: An Iterative Self-Evolving Search Agent. | Dingchu Zhang, Yida Zhao, Jialong Wu, Liwen Zhang, Baixuan Li, Wenbiao Yin, Yong Jiang, Yu-Feng Li, Kewei Tu, Pengjun Xie, Fei Huang |
| 2025 | cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree. | Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu |
| 2025 | Interesting Culture: Social Relation Recognition from Videos via Culture De-confounding. | Yuxuan Zhang, Yangfu Zhu, Haorui Wang, Bin Wu |
| 2025 | Diagram-Driven Course Questions Generation. | Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Basura Fernando, Jun Liu |
| 2025 | CMedCalc-Bench: A Fine-Grained Benchmark for Chinese Medical Calculations in LLM. | Yunyan Zhang, Zhihong Zhu, Xian Wu |
| 2025 | More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression. | Jiebin Zhang, Dawei Zhu, Yifan Song, Wenhao Wu, Chuqiao Kuang, Xiaoguang Li, Lifeng Shang, Qun Liu, Sujian Li |
| 2025 | LightThinker: Thinking Step-by-Step Compression. | Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang |
| 2025 | Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. | Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang |
| 2025 | LiTransProQA: An LLM-based Literary Translation Evaluation Metric with Professional Question Answering. | Ran Zhang, Wei Zhao, Lieve Macken, Steffen Eger |
| 2025 | Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation. | Ziniu Zhang, Zhenshuo Zhang, Dongyue Li, Lu Wang, Jennifer G. Dy, Hongyang R. Zhang |
| 2025 | CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis. | Xinyu Zhang, Pei Zhang, Shuang Luo, Jialong Tang, Yu Wan, Baosong Yang, Fei Huang |
| 2025 | Inter-sentence Context Modeling and Structure-aware Representation Enhancement for Conversational Sentiment Quadruple Extraction. | Yu Zhang, Zhaoman Zhong, Huihui Lv |
| 2025 | SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs. | Xinyu Zhang, Changzhi Zhou, Linmei Hu, Luhao Zhang, Xiancai Chen, Haomin Fu, Yang Yang, Mengdi Zhang |
| 2025 | Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective. | Siyue Zhang, Yilun Zhao, Liyuan Geng, Arman Cohan, Anh Tuan Luu, Chen Zhao |
| 2025 | AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking. | Dingchu Zhang, Xiaowen Zhang, Yue Fei, Renjun Hu, Xiao-Wen Yang, Zhi Zhou, Baixuan Li, Yu-Feng Li, Xing Shi, Wei Lin |
| 2025 | Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization. | Siyuan Zhang, Yichi Zhang, Yinpeng Dong, Hang Su |
| 2025 | T-MAD: Target-driven Multimodal Alignment for Stance Detection. | ZhaoDan Zhang, Jin Zhang, Xueqi Cheng, Hui Xu |
| 2025 | SRM-LLM: Semantic Relationship Mining with LLMs for Temporal Knowledge Graph Extrapolation. | Fu Zhang, Panfeng Zhang, Jingwei Cheng |
| 2025 | Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models. | Gaifan Zhang, Yi Zhou, Danushka Bollegala |
| 2025 | Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers. | Yukun Zhang, Xueqing Zhou |