Papers
11,015 papers found
Grounding Multimodal Large Language Models to the World
Zhiliang Peng, Wenhui Wang, Li Dong et al.
Group Preference Optimization: Few-Shot Alignment of Large Language Models
Siyan Zhao, John Dang, Aditya Grover
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
Takeru Miyato, Bernhard Jaeger, Max Welling et al.
GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
Guikun Xu, Yongquan Jiang, PengChuan Lei et al.
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Renbo Tu, Colin White, Jean Kossaifi et al.
Guess & Sketch: Language Model Guided Transpilation
Celine Lee, Abdulrahman Mahmoud, Michal Kurek et al.
Guiding Instruction-based Image Editing via Multimodal Large Language Models
Tsu-Jui Fu, Wenze Hu, Xianzhi Du et al.
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na, Minje Park, Yunwon Tae et al.
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
Minyoung Park, Mirae Do, Yeon Jae Shin et al.
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
Xavier Puig, Eric Undersander, Andrew Szot et al.
Harnessing Density Ratios for Online Reinforcement Learning
Philip Amortila, Dylan J Foster, Nan Jiang et al.
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He, Xavier Bresson, Thomas Laurent et al.
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
Wu Ran, Peirong Ma, Zhiquan He et al.
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
Qinhong Zhou, Sunli Chen, Yisong Wang et al.
Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Nathan Godey, Éric Villemonte de la Clergerie, Benoît Sagot
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
Meirui Jiang, Anjie Le, Xiaoxiao Li et al.
H-GAP: Humanoid Control with a Generalist Planner
zhengyao jiang, Yingchen Xu, Nolan Wagener et al.
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Kostadin Garov, Dimitar Iliev Dimitrov, Nikola Jovanović et al.
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
Woomin Song, Seunghyuk Oh, Sangwoo Mo et al.
HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo
HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
High-dimensional SGD aligns with emerging outlier eigenspaces
Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang et al.
Hindsight PRIORs for Reward Learning from Human Preferences
Mudit Verma, Katherine Metcalf
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke, Daniel Cremers