Papers
176,624 papers found
Hestia: Voxel-Face-Aware Hierarchical Next-Best-View Acquisition for Efficient 3D Reconstruction
Cheng-You Lu, Zhuoli Zhuang, Nguyen Thanh Trung Le et al.
HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference
Zhiyuan Shi, Qibo Qiu, Xuefeng et al.
Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs
Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu et al.
Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token’s Nature
Zheng Liu, Mengjie Liu, Siwei Wen et al.
Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities
Zheng Zheng, Yuzhi Guo, Xiao Hu et al.
Heterogeneous Complementary Distillation
Liuchi Xu, Hao Zheng, Lu Wang et al.
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
Preesha Gehlot, Anna Rapberger, Fabrizio Russo et al.
Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning
Haomiao Tang, Jinpeng Wang, Minyi Zhao et al.
Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
Ming Li, Yongqi Li, Yuting Chen et al.
Heteroscedastic Heatmap Regression for Reliable Pectoral Muscle Segmentation in Mammography
Paul Zech, Christian Hümmer, Benjamin El-Zein et al.
HeteroSpec: Leveraging Contextual Heterogeneity for Efficient Speculative Decoding
Siran Liu, Yang Ye, Qianchao Zhu et al.
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation
Yiran Liu, Zhiyi Hou, Xiaoang Xu et al.
Hexaïssa: Standing on Giants’ Shoulders—Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning
Bach Ngo, Nguyen Hoang Khoi Do
Hey, wait a minute: on at-issue sensitivity in Language Models
Sanghee J. Kim, Kanishka Misra
HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion
Di Wang, Junping Du, Zhe Xue et al.
H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation
Yijie Zhu, Rui Shao, Ziyang Liu et al.
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid–Structure Interaction
Qin-Yi Zhang, Hong Wang, Siyao Liu et al.
HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition
Jinpeng Zheng, Shao-Yuan Li, Gan Xu et al.
HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking
Wensheng Lu, Keyu Chen, Zhifeng Shen et al.
HiCL: Hippocampal-Inspired Continual Learning
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos et al.
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
Lingrui Mei, Shenghua Liu, Yiwei Wang et al.
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers
Liang Lin, Miao Yu, Kaiwen Luo et al.
Hide-and-Seek Attribution: Weakly Supervised Segmentation of Vertebral Metastases in CT
Matan Atad, Alexander W. Marka, Lisa Steinhelfer et al.
Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Rui Zou, Mengqi Wei, Yutao Zhu et al.
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning
Yangfan Wang, Tianyang Sun, Chen Tang et al.