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• Integrating Multi-Source Data for Long Sequence Precipitation Forecasting

  Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Wenchuan Du

  28539-28547

  2025-04-11

• Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science

  Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul Hanson, Yiqun Xie, Xiaowei Jia

  28548-28556

  2025-04-11

• Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics

  Shuxin Zhong, Kimberly Liu, Wenjun Lyu, Haotian Wang, Guang Wang, Yunhuai Liu, Tian He, Yu Yang, Desheng Zhang

  28557-28565

  2025-04-11

• SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training

  Ce Zhou, Yilun Liu, Weibin Meng, Shimin Tao, Weinan Tian, Feiyu Yao, Xiaochun Li, Tao Han, Boxing Chen, Hao Yang

  28566-28574

  2025-04-11

• Understanding Advertisements

  Yi Feng, Chuanyi Li, Vincent Ng

  28576-28585

  2025-04-11

• Towards Computational Foreseeability

  Sarit Kraus, Kayla Boggess, Robert Kim, Bryan H. Choi, Lu Feng

  28586-28593

  2025-04-11

• Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?

  Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting

  28594-28600

  2025-04-11

• Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges

  Chandan K Reddy, Parshin Shojaee

  28601-28609

  2025-04-11

• Back to the Future of Integrated Robot Systems

  Mohan Sridharan

  28610-28615

  2025-04-11

• A Vision for Reinventing Credible Elections with Artificial Intelligence

  Biplav Srivastava

  28616-28623

  2025-04-11

• Incentives for Early Arrival

  Dengji Zhao

  28624-28628

  2025-04-11

• Embodied AI for Smart Robotic Cells in Manufacturing Applications

  Satyandra K. Gupta

  28630-28636

  2025-04-11

• Trustworthy AI Meets Educational Assessment: Challenges and Opportunities

  Sheng Li

  28637-28642

  2025-04-11

• Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization

  Segev Wasserkrug, Leonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, Ş. İlker Birbil, Jannis Kurtz, Donato Maragno

  28643-28650

  2025-04-11

• Learning Hierarchical Task Knowledge for Planning

  Pat Langley

  28652-28656

  2025-04-11

• Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone

  Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo, Zhijing Jin, Claude Kwizera, Joan Nwatu, Soujanya Poria, Thamar Solorio

  28657-28670

  2025-04-11

• What Do Machine Learning Researchers Mean by “Reproducible”?

  Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris

  28671-28683

  2025-04-11

• Things Machine Learning Models Know That They Don’t Know

  Salvatore Ruggieri, Andrea Pugnana

  28684-28693

  2025-04-11

• Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes

  Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone

  28694-28698

  2025-04-11

• Efficient Robot Learning via Interaction with Humans

  Erdem Bıyık

  28700-28700

  2025-04-11

• Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health

  Elizabeth Bondi-Kelly

  28701-28701

  2025-04-11

• AI Governance and Lessons Learned as an AI Policy Advisor in the United States Senate

  Serena Booth

  28702-28703

  2025-04-11

• Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems

  Daniel S. Brown

  28704-28704

  2025-04-11

• Representation-driven Option Discovery in Reinforcement Learning

  Marlos C. Machado

  28705-28705

  2025-04-11

• Open-World Multimodal Understanding and Generation with Efficiently Finetuned Foundation Models

  Long Chen

  28706-28706

  2025-04-11