Papers
Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs (Student Abstract)
Ryusei Otani, Keichi Namikoshi, Yuko Sakurai et al.
Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract)
Narjes Nourzad, Carlee Joe-Wong
iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract)
Ashikur Nobel, Jacob Matos, Honggang Wang et al.
Cumulant Attention in Vision Transformers (Student Abstract)
Yuto Morimoto, Zhipeng Wang, Koji Yasuda
Social Influence-Based Mutual Acknowledgement Token Exchange (Student Abstract)
Shoma Mizuno, Keichi Namikoshi, Yuko Sakurai
Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)
Nipun Misra, Vikranth Udandarao
Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract)
Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty
New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract)
Niklas M. Melton, Leonardo Enzo Brito da Silva, Donald C. Wunsch
Exposing DeepFakes via Hyperspectral Domain Mapping (Student Abstract)
Aditya Mehta, Swarnim Chaudhary, Pratik Narang et al.
Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract)
Abu Kaisar Mohammad Masum, Sercan Aygun
BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract)
Mahi Mann, Avinash Anand, Rajiv Ratn Shah
Guided Latent Spaces for Controllable Multi-Scenario Generation in Autonomous Driving (Student Abstract)
Manasa Mariam Mammen, Zafer Kayatas, Stefan Wagner
NewsLensAI: NER-Guided Summarization for Mitigating Hallucination and Bias in LLM-Based News Summaries (Student Abstract)
Gaurank Maheshwari, Ambika Taploo, Ashiqur R. Khudabukhsh
Towards Capable and Secure Autonomous Computer-Use Agents (Student Abstract)
Malak Mahdy, Carlos Rubio-Medrano
Knowledge Graph for Efficient Multi-hop Question Generation (Student Abstract)
Al Hasib Mahamud, Yllias Chali
Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract)
Christopher MacDowell, Sarah Setiawan, Carol Jim et al.
BDI-based Opponent Modeling and Strategy Generation for Multi-Issue Negotiation (Student Abstract)
Tianzi Ma, Yulin Wu, Hang Ren et al.
A Foundation Model for Brain MRI with Dynamic Modality Integration (Student Abstract)
Minh Sao Khue Luu, Bair N. Tuchinov
CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract)
Xiaotao Liu, Prashant Mohit, Arvind Easwaran
Efficient Preference Alignment via Pareto Exploration (Student Abstract)
Pengfei Liu, Rui Kong, Zongzhang Zhang
Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract)
Lianghui Liu, Zongzhang Zhang
HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract)
Jizhihui Liu, Guangdao Zhu, Feiyi Du
Obedience or Vigilance? How Large Language Models React to Malicious Multiple-Choice Options (Student Abstract)
Yow-Fu Liou, Yu-Chien Tang, An-Zi Yen
HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract)
Kunrong Li, Zhu Sun, Kwan Hui Lim