| 2025 | Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability. | Ruida Wang, Yuxin Li, Yi R. Fung, Tong Zhang |
| 2025 | ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning. | Rui Wang, Bohao Li, Xiyang Dai, Jianwei Yang, Yi-Ling Chen, Zhen Xing, Yifan Yang, Dongdong Chen, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang |
| 2025 | Exploring the Impact of Personality Traits on LLM Bias and Toxicity. | Shuo Wang, Renhao Li, Xi Chen, Yulin Yuan, Min Yang, Derek F. Wong |
| 2025 | Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs. | Dingdong Wang, Junan Li, Mingyu Cui, Dongchao Yang, Xueyuan Chen, Helen M. Meng |
| 2025 | VocalNet: Speech LLMs with Multi-Token Prediction for Faster and High-Quality Generation. | Yuhao Wang, Heyang Liu, Ziyang Cheng, Ronghua Wu, Qunshan Gu, Yanfeng Wang, Yu Wang |
| 2025 | Safety in Large Reasoning Models: A Survey. | Cheng Wang, Yue Liu, Baolong Bi, Duzhen Zhang, Zhong-Zhi Li, Yingwei Ma, Yufei He, Shengju Yu, Xinfeng Li, Junfeng Fang, Jiaheng Zhang, Bryan Hooi |
| 2025 | Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations. | Yunzhe Wang, Gale M. Lucas, Burcin Becerik-Gerber, Volkan Ustun |
| 2025 | Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes. | Mingyang Wang, Lukas Lange, Heike Adel, Yunpu Ma, Jannik Strtgen, Hinrich Schtze |
| 2025 | MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models. | Xiaolong Wang, Zhaolu Kang, Wangyuxuan Zhai, Xinyue Lou, Yunghwei Lai, Ziyue Wang, Yawen Wang, Kaiyu Huang, Yile Wang, Peng Li, Yang Liu |
| 2025 | GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. | Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou |
| 2025 | Probing Logical Reasoning of MLLMs in Scientific Diagrams. | Yufei Wang, Adriana Kovashka |
| 2025 | RAV: Retrieval-Augmented Voting for Tactile Descriptions Without Training. | Jinlin Wang, Yulong Ji, Hongyu Yang |
| 2025 | HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning. | Zhenyi Wang, Yapeng Jia, Haiyan Ning, Peng Wang, Dan Wang, Yitao Cao |
| 2025 | Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning. | Jianing Wang, Jin Jiang, Yang Liu, Mengdi Zhang, Xunliang Cai |
| 2025 | Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query. | Yixuan Wang, Shiyu Ji, Yijun Liu, Yuzhuang Xu, Yang Xu, Qingfu Zhu, Wanxiang Che |
| 2025 | Adaptive Preference Optimization with Uncertainty-aware Utility Anchor. | Xiaobo Wang, Zixia Jia, Jiaqi Li, Qi Liu, Zilong Zheng |
| 2025 | Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience. | Xi Wang, Songlei Jian, Shasha Li, Xiaopeng Li, Bin Ji, Ma Jun, Xiaodong Liu, Jing Wang, Jianfeng Zhang, Jie Yu, Feilong Bao, Wangbaosheng |
| 2025 | Rapid Word Learning Through Meta In-Context Learning. | Wentao Wang, Guangyuan Jiang, Tal Linzen, Brenden M. Lake |
| 2025 | DLIR: Spherical Adaptation for Cross-Lingual Knowledge Transfer of Sociological Concepts Alignment. | Zeqiang Wang, Jon Johnson, Suparna De |
| 2025 | Beyond the Textual: Generating Coherent Visual Options for MCQs. | Wanqiang Wang, Longzhu He, Wei Zheng |
| 2025 | MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts. | Qing Wang, Xue Han, Jiahui Wang, Lehao Xing, Qian Hu, Lianlian Zhang, Chao Deng, Junlan Feng |
| 2025 | QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory. | Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Huaming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2025 | V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models. | Qidong Wang, Junjie Hu, Ming Jiang |
| 2025 | PropRAG: Guiding Retrieval with Beam Search over Proposition Paths. | Jingjin Wang, Jiawei Han |
| 2025 | Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise. | Hanyin Wang, Chufan Gao, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Reddy Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun |