| 2026 | Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems. | Ziyuan Yang, Wenxuan Ding, Shangbin Feng, Yulia Tsvetkov |
| 2026 | GLARE: Agentic Reasoning for Legal Judgment Prediction. | Xinyu Yang, Chenlong Deng, Zhicheng Dou |
| 2026 | Rejection-to-Acceptance Transition: Model Editing-Based Jailbreak Backdoor Injection Not Limited to Few Output Tokens. | Shiji Yang, Min Cai, Hao Xiong, Congyao Mei, Haodong Zou, Shicheng Tan, Jie Chen, Fulan Qian, Shu Zhao |
| 2026 | EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation. | Pei Yang, Wanyi Chen, Ke Wang, Lynn Ai, Eric Yang, Tianyu Shi |
| 2026 | Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models. | Guangyu Yang, Jinghong Chen, Jingbiao Mei, Weizhe Lin, Bill Byrne |
| 2026 | AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM. | Shufan Yang, Zifeng Cheng, Zhiwei Jiang, Qingfeng Qi, Yafeng Yin, Cong Wang, Ao Zhou, Qing Gu |
| 2026 | Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection. | Ruichao Yang, Yufan Bian, Wei Gao, Bowen Zhang, Jing Ma, Hongzhan Lin, Ziyang Luo, Xiaobin Zhu, Xucheng Yin |
| 2026 | MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling. | Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim |
| 2026 | Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models. | Hanqi Yan, Xiangxiang Cui, Lu Yin, Jindong Gu, Paul Pu Liang, Yulan He, Yifei Wang |
| 2026 | Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive Learning. | Yusuke Yamauchi, Akiko Aizawa |
| 2026 | Timesteps of Mamba Align with Human Reading Times. | Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara, Sho Yokoi |
| 2026 | Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates. | Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, Nikolaos Aletras |
| 2026 | Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks. | Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras |
| 2026 | Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning. | Duygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi, Siddharth Varia, Srikanth Doss, Nikolaos Pappas |
| 2026 | What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels. | Aditya Yadavalli, Tiago Pimentel, Tamar I. Regev, Ethan Gotlieb Wilcox, Alex Warstadt |
| 2026 | Beyond Uniform SVD: Dual-Level Optimization across Columns and Modules for LLM Compression. | Lin Xv, Xian Gao, Ting Liu, Yuzhuo Fu |
| 2026 | JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation. | Fan Xu, Huixuan Zhang, Zhenliang Zhang, Jiahao Wang, Xiaojun Wan |
| 2026 | PodBench: A Comprehensive Benchmark for Instruction-Aware Audio-Oriented Podcast Script Generation. | Chenning Xu, Mao Zheng, Mingyu Zheng, Mingyang Song |
| 2026 | ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction. | Huangming Xu, Fu Zhang, Zhixuan Yang, Lu Zhang, Jingwei Cheng |
| 2026 | Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency. | Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang, Xinle Deng, Shumin Deng, Jeff Z. Pan, Huajun Chen, Ningyu Zhang |
| 2026 | RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. | Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang |
| 2026 | Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization. | Huimin Xu, Shuai Zhao, Xiaobao Wu, Anh Tuan Luu |
| 2026 | Feedback Is The Key for Automated Survey Generation. | Tianyi Xu, Zhe Zhao, Tianshuo Wei, Yiqun Kou, Liuliu Han, Ye Wei |
| 2026 | DecoCal: Decoding with Calibration in Diffusion Large Language Models. | Fan Xu, Huixuan Zhang, Xiaojun Wan |
| 2026 | Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMs. | Mingze Xu, Zijing Zhao, Qiming Peng, Houwen Peng, Han Hu, Zhanhui Kang, Yuxing Han |