Papers
Responsible Mechanism Design
Pavel Naumov
Rethinking AI: From Functions to Functors
Sridhar Mahadevan
System L: Toward System 2-Style Legal Reasoning
Chuanyi Li, Yi Feng, Vincent Ng
The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI
Stefan Kramer, Lennart Baur, Lars Reinhardt
Complex Reasoning over Vision and Language --Leveraging Neurosymbolic AI
Parisa Kordjamshidi
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
Aligning Generative Music AI with Human Preferences: Methods and Challenges
Dorien Herremans, Abhinaba Roy
Multi-Agent Path Finding with Unassigned Agents (MAPFUA)
Ariel Felner, Roni Stern
Multi-Armed Bandits Meet Large Language Models
Djallel Bouneffouf, Raphael Feraud
The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?
Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole et al.
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
Jiaxu Zhao, Meng Fang, Mingze Zhong et al.
HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting
Zichi Zhang, Phi Hung Nguyen, Ngoc Phu Doan et al.
Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms
XuWen Zhang, Xiao Xue, Xia Xie et al.
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
Xiaocai Zhang, Zhe Xiao, Maohan Liang et al.
Game Theory Based Community-Aware Opinion Dynamics
Shanfan Zhang, Yongyi Lin, Xiaoting Shen et al.
Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies
Bowen Zhang, Hongda Tian, Adam Berry et al.
Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network
Yicheng Zhan, Fahim Ahmed, Amy Burrell et al.
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
Khadija Zanna, Akane Sano
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
Dahai Yu, Rongchao Xu, Dingyi Zhuang et al.
Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards
Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati et al.