Papers
176,624 papers found
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang et al.
How Should We Model the Probability of a Language?
Rasul Dent, Pedro Ortiz Suarez, Thibault Clérice et al.
HoWToBench: Holistic Evaluation for LLM’s Capability in Human-level Writing using Tree of Writing
Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo et al.
How to Contextualize Empirical Data for Risk Analysis with LLMs: A Case Study of Power Outages
Haiyun Huang, Yukun Li, Marco A Pretell et al.
How to Design and Train Your Implicit Neural Representation for Video Compression
Matthew Gwilliam, Roy Zhang, Namitha Padmanabhan et al.
How to Efficiently Explore Noisy Historical Data? Leveraging Corpus Pre-Targeting to Enhance Graph-based RAG
Donghan Bian, Marie Puren, Florian Cafiero
How to Improve LLMs’ Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity
Xinhe Shi, Qingcheng Zeng, Weihao Xuan et al.
How to Make LMs Strong Node Classifiers?
Zhe Xu, Kaveh Hassani, Si Zhang et al.
HowToNarrate: A General-Domain Benchmark for Synchronized Video Narration with External Knowledge
Xueyan Wang, Dingyi Yang, Qin Jin
How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
Yongqi Tong, Xiaoyun Feng, Lyuxin Xue et al.
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
Minsung Kim, Dong-Kyum Kim, Jea Kwon et al.
How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation
Zinuo You, Jin Zheng, John Cartlidge
HPSU: A Benchmark for Human-Level Perception in Real-World Spoken Speech Understanding
Chen Li, Peiji Yang, Yicheng Zhong et al.
HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios
Bingsong Bai, Yizhong Geng, Fengping Wang et al.
H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation
Hongzhe Bi, Lingxuan Wu, Tianwei Lin et al.
HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
Zihang Shao, Wentao Lei, Lei Wang et al.
HSCodeComp: A Realistic and Expert-level Agent Benchmark for Hierarchical Rule Application
Tian Lan, Yiqian Yang, Qianghuai Jia et al.
HSGraphAgent: Knowledge-Graph-Guided Large Language Models for Harmonized System Code Classification
Qiang Xia, Zijian Zhang, Ao Wang et al.
HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models Through Curriculum Tuning
Qihao Yang, Xuelin Wang, Jiale Chen et al.
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
Qirui Ji, Bin Qin, Yifan Jin et al.
HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning
Jianwen Luo, Yongkang Jin, Yu Hong et al.
HTN Plan Verification by Qualitative Temporal Reasoning
Tobias Schwartz, Diedrich Wolter
HTTrack: Learning to Perceive Targets via Historical Trajectories in Satellite Video Tracking
Jiahao Wang, Fang Liu, Licheng Jiao et al.