| 2025 | Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data. | Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu, Xin Liu, Haoming Jiang, Tuo Zhao, Tianbao Yang |
| 2025 | LLMScan: Causal Scan for LLM Misbehavior Detection. | Mengdi Zhang, Kai Kiat Goh, Peixin Zhang, Jun Sun, Lin Xin Rose, Hongyu Zhang |
| 2025 | SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning. | Jinpeng Chen, Runmin Cong, Yuzhi Zhao, Hongzheng Yang, Guangneng Hu, Horace H. S. Ip, Sam Kwong |
| 2025 | SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation. | Yuqi Fan, Zhiyong Cui, Zhenning Li, Yilong Ren, Haiyang Yu |
| 2025 | LEMoN: Label Error Detection using Multimodal Neighbors. | Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi |
| 2025 | Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification. | Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi |
| 2025 | Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach. | Yang Xu, Vaneet Aggarwal |
| 2025 | Nonconvex Theory of M-estimators with Decomposable Regularizers. | Weiwei Liu |
| 2025 | Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification. | Teng Huang, Bin-Bin Jia, Min-Ling Zhang |
| 2025 | Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. | Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao |
| 2025 | Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. | Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye |
| 2025 | Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering. | Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu |
| 2025 | Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities. | Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song |
| 2025 | Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games. | Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin |
| 2025 | On Exact Bit-level Reversible Transformers Without Changing Architecture. | Guoqiang Zhang, J. P. Lewis, W. Bastiaan Kleijn |
| 2025 | On the Emergence of Position Bias in Transformers. | Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie |
| 2025 | Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. | Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao |
| 2025 | HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder. | Qi Yang, Le Yang, Geert Van der Auwera, Zhu Li |
| 2025 | Volume-Aware Distance for Robust Similarity Learning. | Shuo Chen, Chen Gong, Jun Li, Jian Yang |
| 2025 | Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. | Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li |
| 2025 | Unsupervised Learning for Class Distribution Mismatch. | Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You |
| 2025 | Conformity Score Averaging for Classification. | Rui Luo, Zhixin Zhou |
| 2025 | Hierarchical Graph Tokenization for Molecule-Language Alignment. | Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian |
| 2025 | Scaling Inference-Efficient Language Models. | Song Bian, Minghao Yan, Shivaram Venkataraman |
| 2025 | Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries. | Akira Ito, Masanori Yamada, Atsutoshi Kumagai |