Papers
On the Dataless Training of Neural Networks
Alvaro Velasquez, Susmit Jha, Ismail R. Alkhouri
Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines – an Emerging Trend
Felipe Leno da Silva, Mikel Landajuela, Edwin A. Saada et al.
Toward Artificial Metacognition
Paulo Shakarian
Multi-Objective Search: Algorithms, Applications, and Emerging Directions
Oren Salzman, Carlos Hernández Ulloa, Ariel Felner et al.
AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring
Scarlett Raine, Tobias Fischer
Towards a Common Framework for Autoformalization
Agnieszka Mensfelt, David Tena Cucala, Santiago Franco et al.
Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges
Yi-Chieh Lee, Junti Zhang, Tianqi Song et al.
The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going?
Vaishak Belle, Gary Marcus
Explanations for Sequential Decision-Making – an Overview
Hendrik Baier, Mark T. Keane, Sarath Sreedharan et al.
Model AI Assignments 2026
Todd W. Neller, Steve Geinitz, Kevin Wang et al.
TacpAgent: Enhancing Student Engagement in Classroom Exercises Through LLM-Generated Feedback
Wanlu Zhang, Jia Zhu, Xi Yang et al.
Context Selection and Rewriting for Video-based Educational Question Generation
Mengxia Yu, Bang Nguyen, Olivia Zino et al.
SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
Eric Xie, Danielle Waterfield, Michael Kennedy et al.
AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
Yun Wang, Zhaojun Ding, Xuansheng Wu et al.
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.
SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving
Van-Khanh Tran, Van-Khai Dang, Duc-Huy Nguyen
Thinking Through the Hands: An Exploratory Study of Hand Movements to Assess Students Problem-Solving in Mechanistic Reasoning Tasks
Harshil Safi, Megha Bansal, Madhu Vadali et al.
Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis
Ryosuke Nakamoto, Brendan Flanagan, Kohei Nakamura et al.
“Debate Guru”: Honing Public Speaking Skills Among Secondary School Students with AI Tutoring Systems
Zachary Nadan, Nathan Goldberg, Roozbeh Aliabadi et al.
A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning
Yeo Jin Kim, Daeun Hong, Tianshu Wang et al.
Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts
Luyang Fang, Tao Wang, Ping Ma et al.
An Explanation-Based Classroom Response System for Real-Time Analysis of Undergraduate Students’ Natural Language Explanations
Jordan Esiason, Priyanka Khare, Claire Aguiar et al.
Speaker Anonymization for Children's Oral Reading Assessment
Sandipan Dhar, Srikanth Raj Chetupalli, Preeti Rao