Papers
HICode: Hierarchical Inductive Coding with LLMs
Mian Zhong, Pristina Wang, Anjalie Field
Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents
Pengzhou Cheng, Haowen Hu, Zheng Wu et al.
Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs
Qianqi Yan, Hongquan Li, Shan Jiang et al.
Hierarchical Attention Adapter for Abstractive Dialogue Summarization
Raymond Li, Chuyuan Li, Gabriel Murray et al.
Hierarchical Bracketing Encodings Work for Dependency Graphs
Ana Ezquerro, Carlos Gómez-Rodríguez, David Vilares
Hierarchical Reward Modeling for Fault Localization in Large Code Repositories
Jiwei Zhang, Jianxun Lian, Haiming Qin et al.
HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction
Ziheng Ni, Congcong Liu, Yuying Chen et al.
HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes
Qian Zhang, Qinliang Su, Wei Zhu et al.
HighMATH: Evaluating Math Reasoning of Large Language Models in Breadth and Depth
Yan Liu, Minghui Zhang, Bojian Xiong et al.
High-Quality Medical Dialogue Synthesis for Improving EMR Generation
Chengze Ge, Yu Xu, Qi Shao et al.
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation
Shijie Zhang, Renhao Li, Songsheng Wang et al.
HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation
Yihan Jiao, Zhehao Tan, Dan Yang et al.
HITS at DISRPT 2025: Discourse Segmentation, Connective Detection, and Relation Classification
Souvik Banerjee, Yi Fan, Michael Strube
HIT-YOU at TSAR 2025 Shared Task Leveraging Similarity-Based Few-Shot Prompting, Round-Trip Translation, and Self-Refinement for Readability-Controlled Text Simplification
Mao Shimada, Kexin Bian, Zhidong Ling et al.
HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning
Zhenyi Wang, Yapeng Jia, Haiyan Ning et al.
HMoE: Heterogeneous Mixture of Experts for Language Modeling
An Wang, Xingwu Sun, Ruobing Xie et al.
HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models
Chuan He, Zhuozhao Li, Song Guo et al.
HookMoE: A learnable performance compensation strategy of Mixture-of-Experts for LLM inference acceleration
Cheng Longkai, Along He, Mulin Li et al.
HOPE at TSAR 2025 Shared Task Balancing Control and Complexity in Readability-Controlled Text Simplification
Sujal Maharjan, Astha Shrestha
Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech
Jonathan Pofcher, Christopher M Homan, Randall Sell et al.
Hopscotch: Discovering and Skipping Redundancies in Language Models
Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang et al.
How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders
Tatsuro Inaba, Go Kamoda, Kentaro Inui et al.
How Accurate Are LLMs at Multi-Question Answering on Conversational Transcripts?
Xiliang Zhu, Shi Zong, David Rossouw
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench
Venkatesh Mishra, Amir Saeidi, Satyam Raj et al.
How Can We Relate Language Modeling to Morphology?
Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux