| 2026 | DPDV: Dual-Pathway and Dual-View Representation Learning for Bridging Information Asymmetry in Text-Video Retrieval. | Zequn Xie, Xin Liu, Fangming Feng, Boyun Zhang, Tao Jin |
| 2026 | Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards. | Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang |
| 2026 | SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes. | Wenxuan Xie, Yaxun Dai, Wenhao Jiang |
| 2026 | GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning. | Yule Xie, Jiaxin Ding, Cheng Deng, Shiqing Gao, Junran Zhang, Sibo Zhang, Zeyuan Wang, Ke Wu, Xin Ding, Luoyi Fu, Meng Jin, Xinbing Wang |
| 2026 | ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code. | Jian Xie, Zhendong Chu, Aoxiao Zhong, Kai Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen |
| 2026 | Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling. | Wantong Xie, Yinghao Chen, Yixiang Hu, Feng Wu, Jieyang Xu, Sijia Zhang, Xiangyang Li |
| 2026 | FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation. | Cy Xie |
| 2026 | HSGraphAgent: Knowledge-Graph-Guided Large Language Models for Harmonized System Code Classification. | Qiang Xia, Zijian Zhang, Ao Wang, Wenhan Wang, Xiangyu Wang, Jian Li |
| 2026 | CodeRM-NT: Reward Model for Code RL without Unit Tests. | Xiao Xia, Dan Zhang, Tianrui Sun |
| 2026 | MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding. | Xue Xia, Zheyuan Yang, Arman Cohan, Yilun Zhao |
| 2026 | Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training. | Tianle Xia, Ming Xu, Lingxiang Hu, Yiding Sun, Wenwei Li, Linfang Shang, Liqun Liu, Peng Shu, Huan Yu, Jie Jiang |
| 2026 | PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback. | Wei Xia, Jin Wu, Haoran Shi, Xiangyu Wang, Chanjin Zheng |
| 2026 | Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis. | Yan Xia, Zhuangzhuang Pan, Amirrudin Kamsin, Chee Seng Chan |
| 2026 | SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. | Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, Wenxuan Zhou |
| 2026 | Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models. | He Xiao, Qingyao Yang, Dirui Xie, Wendong Xu, Zunhai Su, Runming Yang, Haobo Liu, Wenyong Zhou, Zhengwu Liu, Ngai Wong |
| 2026 | VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning. | Wenyi Xiao, Xinchi Xu, Leilei Gan |
| 2026 | Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets. | Yuan Xiao, Jiaming Wang, Yuchen Chen, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen |
| 2026 | Bridging Internal Consistency and External Alignment: A Causal and Dynamic Interpretability Framework for LLM Generation. | Shuyao Xiao, Shengling Wang, Ke Chao |
| 2026 | Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration Scenarios. | Xin-Yu Xiao, Ye Tian, Erwei Yin, Zhixian He, Shiqi Wang, Yalei Liu, Qianchen Xia |
| 2026 | When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure. | Boyu Xiao, Xiuqi Tian, Xuwen Song, Haochun Wang, Guanchun Song, Sendong Zhao, Bing Qin |
| 2026 | Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation. | Xi Xiao, Chenrui Ma, Yunbei Zhang, Chen Liu, Zhuxuanzi Wang, Yanshu Li, Lin Zhao, Guosheng Hu, Tianyang Wang, Hao Xu |
| 2026 | Representation-Guided Parameter-Efficient LLM Unlearning. | Zeguan Xiao, Lang Mo, Yun Chen, Lei Yang, Jiehui Zhao, Lili Yang, Guanhua Chen |
| 2026 | Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem. | Zeguan Xiao, Siqing Li, Yong Wang, Xuetao Wei, Jian Yang, Yun Chen, Guanhua Chen |
| 2026 | FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization. | Haiyang Xiao, Weiqing Li, Jinyue Guo, Guochao Jiang, Guohua Liu, Yuewei Zhang |
| 2026 | STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding. | Hongwang Xiao, Wenjun Lin, Xi Chen, Hui Wang, Kai Chen, Jiashan Li, Yuancheng Sun, Sicheng Dai, Boya Wu, Qiwei Ye |