Papers
176,624 papers found
HodgeFormer: Transformers for Learnable Operators on Triangular Meshes through Data-Driven Hodge Matrices
Akis Nousias, Stavros Nousias
HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
Jingxiao Yang, Ping He, Tianyu Du et al.
HOLO: Holistic Lightweight Optimization for Scene Understanding with Auto-Annotation and Multimodal Learning
Xiaoyun Hu, Xiaohan Yan, Nan Wang et al.
HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection
Tu-Phuong Mai, Minh-Ha Le H., Duc-Luong Tran et al.
HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions
Zhiyu Shen, Jiyuan Liu, Yunhe Pang et al.
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
Wei Chen, Wanyang Gu, Linjun Peng et al.
HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception
Wei Yao, Yunlian Sun, Hongwen Zhang et al.
Hospitality-VQA: Decision-Oriented Informativeness Evaluation for Vision–Language Models
Jeongwoo Lee, Baek Duhyeong, Eungyeol Han et al.
HotelQuEST: Balancing Quality and Efficiency in Agentic Search
Guy Hadad, Shadi Iskander, Sofia Tolmach et al.
HouseTune: Two-Stage Floorplan Generation with LLM Assistance
Ziyang Zong, Guanying Chen, Zhaohuan Zhan et al.
How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen
How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective
Tongyao Zhu, Qian Liu, Chang Ma et al.
How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias
Arka Dutta, Reza Fayyazi, Shanchieh Yang et al.
How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs
Shivam Adarsh, Maria Maistro, Christina Lioma
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
Ziwen Xu, Kewei Xu, Haoming Xu et al.
How DDAIR you? Disambiguated Data Augmentation for Intent Recognition
Galo Castillo-López, Alexis Lombard, Nasredine Semmar et al.
How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets
Chung Peng Lee, Rachel Hong, Harry H. Jiang et al.
How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective
Shimao Zhang, Zhejian Lai, Xiang Liu et al.
How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
Xi Chen, Aske Plaat, Niki van Stein
How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education
Ba-Thinh Tran-Le, Patrick Thomas, Nicholas M. Stiffler et al.
How Do Inpainting Artifacts Propagate to Language?
Pratham Yashwante, Davit Abrahamyan, Shresth Grover et al.
How Do Language Models Acquire Character-Level Information?
Soma Sato, Ryohei Sasano
How Do Lexical Senses Correspond Between Spoken German and German Sign Language?
Melis Çelikkol, Wei Zhao
How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study
Zhen Yang, Ping Jian, Zhongbin Guo et al.
How Do LLMs Generate Contrastive Sentiments? A Mechanistic Perspective
Van Bach Nguyen, Jörg Schlötterer, Christin Seifert