| 2025 | Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization. | Audrey Huang, Wenhao Zhan, Tengyang Xie, Jason D. Lee, Wen Sun, Akshay Krishnamurthy, Dylan J. Foster |
| 2025 | Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification. | Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin |
| 2025 | TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting. | Songtao Huang, Zhen Zhao, Can Li, Lei Bai |
| 2025 | SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. | Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu |
| 2025 | ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors. | Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee |
| 2025 | A Formal Framework for Understanding Length Generalization in Transformers. | Xinting Huang, Andy Yang, Satwik Bhattamishra, Yash Raj Sarrof, Andreas Krebs, Hattie Zhou, Preetum Nakkiran, Michael Hahn |
| 2025 | Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. | Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu |
| 2025 | What Are Good Positional Encodings for Directed Graphs? | Yinan Huang, Haoyu Peter Wang, Pan Li |
| 2025 | Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought. | Jianhao Huang, Zixuan Wang, Jason D. Lee |
| 2025 | Learning to Steer Markovian Agents under Model Uncertainty. | Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He |
| 2025 | Directional Gradient Projection for Robust Fine-Tuning of Foundation Models. | Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan, Shivang Chopra, Zsolt Kira |
| 2025 | Post-hoc Reward Calibration: A Case Study on Length Bias. | Zeyu Huang, Zihan Qiu, Zili Wang, Edoardo M. Ponti, Ivan Titov |
| 2025 | OptionZero: Planning with Learned Options. | Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu |
| 2025 | Ultra-Sparse Memory Network. | Zihao Huang, Qiyang Min, Hongzhi Huang, Yutao Zeng, Defa Zhu, Ran Guo, Xun Zhou |
| 2025 | Capability Localization: Capabilities Can be Localized rather than Individual Knowledge. | Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu |
| 2025 | Endless Jailbreaks with Bijection Learning. | Brian R. Y. Huang, Maximilian Li, Leonard Tang |
| 2025 | LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision. | Jiani Huang, Ziyang Li, Mayur Naik, Ser-Nam Lim |
| 2025 | Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid. | Mingxin Huang, Yuliang Liu, Dingkang Liang, Lianwen Jin, Xiang Bai |
| 2025 | Mixture Compressor for Mixture-of-Experts LLMs Gains More. | Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi |
| 2025 | Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy. | Yangsibo Huang, Daogao Liu, Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Milad Nasr, Amer Sinha, Chiyuan Zhang |
| 2025 | HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models. | Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang |
| 2025 | ComLoRA: A Competitive Learning Approach for Enhancing LoRA. | Qiushi Huang, Tom Ko, Lilian Tang, Yu Zhang |
| 2025 | Distribution-Specific Agnostic Conditional Classification With Halfspaces. | Jizhou Huang, Brendan Juba |
| 2025 | Revisit the Open Nature of Open Vocabulary Semantic Segmentation. | Qiming Huang, Han Hu, Jianbo Jiao |
| 2025 | Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. | Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu |