Papers
11,951 papers found
HelpSteer2-Preference: Complementing Ratings with Preferences
Zhilin Wang, Alexander Bukharin, Olivier Delalleau et al.
Herald: A Natural Language Annotated Lean 4 Dataset
Guoxiong Gao, Yutong Wang, Jiedong Jiang et al.
HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai et al.
Hessian-Free Online Certified Unlearning
Xinbao Qiao, Meng Zhang, Ming Tang et al.
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
YOUHE JIANG, Ran Yan, Binhang Yuan
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
Yujie Mo, Runpeng Yu, Xiaofeng Zhu et al.
HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
Minjae Jeong, Yechan Hwang, Jaejin Lee et al.
HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
Muxi Chen, Chenchen Zhao, Qiang Xu
Hidden in the Noise: Two-Stage Robust Watermarking for Images
Kasra Arabi, Benjamin Feuer, R. Teal Witter et al.
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
Pit Neitemeier, Björn Deiseroth, Constantin Eichenberg et al.
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs
Yu-Zhe Shi, Mingchen Liu, Fanxu Meng et al.
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Xiaoling Hu, Karthik Gopinath, Peirong Liu et al.
Hierarchical World Models as Visual Whole-Body Humanoid Controllers
Nicklas Hansen, Jyothir S V, Vlad Sobal et al.
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga et al.
High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
Siddharth Ramchandran, Manuel Haussmann, Harri Lähdesmäki
High-dimension Prototype is a Better Incremental Object Detection Learner
Yanjie Wang, Liqun Chen, Tianming Zhao et al.
High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation
Ziye Wang, Yiran Qin, Lin Zeng et al.
Higher-Order Graphon Neural Networks: Approximation and Cut Distance
Daniel Herbst, Stefanie Jegelka
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma, Zhengding Luo, Thanh Vinh Vo et al.
High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
Qian Yu, Peng-Tao Jiang, Hao Zhang et al.
High-Quality Joint Image and Video Tokenization with Causal VAE
Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang et al.
High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers.
Jiachen Qian, Hongye Yang, Shuang Wu et al.
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang, Sagar Vaze, Kai Han
HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
Qiushi Huang, Tom Ko, Zhan Zhuang et al.
HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction
Shengji Tang, Weicai Ye, Peng Ye et al.