Table of Contents

• Co-HSF: Resource-Efficient One-Shot Semi-Supervised Adaptation of Histopathology Foundation ModelsLuca Cerny Oliveira, Kartik Patwari, Xiaoguang Zhu, Sen-Ching S. Cheung, Brittany N. Dugger, Chen-Nee Chuah. 2-9 [doi]
• Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Sub-type ClassificationMarco Dossena, Christopher Irwin, Annalisa Chiocchetti, Luigi Portinale. 10-17 [doi]
• SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease DiagnosesXinwei Luo, Songlin Zhao, Yun Zong, Yong Chen 0016, Gui-Shuang Ying, Lifang He 0001. 19-24 [doi]
• End-to-End Deep Learning for Structural Brain Imaging: A Unified FrameworkYao Su 0003, Keqi Han, Mingjie Zeng, Lichao Sun 0001, Liang Zhan, Carl Yang 0001, Lifang He 0001, Xiangnan Kong. 25-30 [doi]
• Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER DatabaseJyothi Vaidyanathan, Shourya Gupta, Justin Lee, Srikanth Prabhu, Saptarshi Sengupta. 31-36 [doi]
• A General Paradigm for Fine-Tuning Large Language Models in Alzheimer's Disease DiagnosisMarcus Zhan, Kun Zhao 0007, Guodong Liu, Haoteng Tang. 37-42 [doi]
• Human AI Collaboration for Trust ManagementMito Akiyoshi. 44-47 [doi]
• Human-AI Collaborations for Controlled Tasking Use CasesMichael Atighetchi, Sedona Thomas, Regan Broderick-Sander, Julia Hiebel. 48-49 [doi]
• Bidirectional Feedback-Based Personalization of Learning using Multi-tier AI: A Real-World Assessment of its Efficacy in ClassroomsSaptarshi Basu, Jayson Brown, Cherie Lum, Junsoo Park, Ashok K. Goel. 50-51 [doi]
• Enhancing Human-AI Collaboration through a Conversational Agent for Energy EfficiencyRiccardo Campi, Mathyas Giudici, Nicolò Oreste Pinciroli Vago, Marco Brambilla 0001, Piero Fraternali. 52-55 [doi]
• An AI Aid for General Decision-Making AssistanceJozo Dujmovic, Malavya Raval. 56-59 [doi]
• Leveraging LLMs for Collaborative Human-AI Decision MakingAnthony Favier, Pulkit Verma, Ngoc La, Julie A. Shah. 60-62 [doi]
• AI as Collaborative Partner: Rethinking Human-AI Teaming for the Real WorldMelinda T. Gervasio, Pedro Sequeira, Eric Yeh, Nicholas Marion, Sarah Bakst, Helen Gent. 63-66 [doi]
• AI-Mediated Dispute ResolutionJames Hale, HanMoe Kim, Ahyoung Choi, Jonathan Gratch. 67-70 [doi]
• Towards Fluid Human-AI CollaborationFabian Heinrich, Florian Schröder, Stefan Kopp. 71-72 [doi]
• Toward a Generalized Model of Human-AI Team EffectivenessLixiao Huang. 73-75 [doi]
• Toward a Taxonomy of Teamwork Support to Help Inform Collaborative AI EffortsMatthew Johnson, Jeffrey M. Bradshaw. 76-79 [doi]
• Towards Physically-grounded Human-AI CollaborationXuhui Kang, Yen-ling Kuo. 80-82 [doi]
• Training Humans for Robust Human-Agent Teaming: Knowing When to Engage with an AI PartnerLeon Lange, Qiao Zhang, Christopher J. MacLellan, Ying Choon Wu. 83-86 [doi]
• Interdependent Human-Machine Teams: The Limits of Classical Team ScienceWilliam Lawless. 87-89 [doi]
• Toward a Framework for Characterizing Teaming Difficulties in Cooperative Video GamesZiyu Li, Erik Harpstead. 90-92 [doi]
• Human-Centric Teaching at Scale in Online Education through Bidirectional Feedback in Human-AI InteractionJunsoo Park, Ashok K. Goel. 93-94 [doi]
• The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning ModelsYao Rong, Vaibhav V. Unhelkar. 95-97 [doi]
• Adapting Language Model Responses with Implicit Feedback for Effective Human-AI CollaborationJaelle Scheuerman, Shannon McGarry, Ciara Sibley, Noelle Brown. 98-99 [doi]
• Social Intelligence for Reducing DisruptionTed Selker. 100-103 [doi]
• AI-Assisted Coordination of Human Teams in Situated TasksSangwon Seo, Zhiqin Qian, Vaibhav V. Unhelkar. 104-106 [doi]
• Preposition Salad: Placing Humans & AI in/on/over/along/under 'the-loop'Aditya Singh, Zoe Szajnfarber. 107-110 [doi]
• Personalized Learning through AI-Driven Data PipelinePloy Thajchayapong, Ashok K. Goel 0001. 111-114 [doi]
• Human-AI Collaboration in the Fashion Design ProcessAndrea Tocchetti, Giulia Monterosso, Francesca Palazzetti Romualdi, Paola Bertola, Marco Brambilla 0001, Angelica Vandi, Federica Vacca. 115-118 [doi]
• Team Context-Aware Collaborative AI AssistantsMicael Vignati, Matthew Johnson. 119-121 [doi]
• Reimagining Human-AI Social CollaborationLingqing Wang, Ashok K. Goel 0001. 122-123 [doi]
• A Distributed Teaming Testbed for Human-Machine Collaboration in Futuristic Space MissionsElmira Zahmat Doost, Xiaoyun Yin, Shiwen Zhou 0001, David A. Grimm, Nancy J. Cooke, Jamie C. Gorman. 124-126 [doi]
• Enhancing Human-Autonomous System Interaction and Team Dynamics in Automated Driving Systems (ADS)Elmira Zahmat Doost, Jamie C. Gorman. 127-130 [doi]
• AI Agents in Education: Four Trends and a Practical WorkflowJiali Zhang. 131-132 [doi]
• Think and Play: Designing and Evaluating Human-AI Teaming Dynamics in Gaming EnvironmentsQiao Zhang, Christopher J. MacLellan. 133-135 [doi]
• Benchmarking Large-Language Models for Resource-Efficient Medical AI for Edge DeploymentAwal Ahmed Fime, Md. Zarif Hossain, Saika Zaman, Abdur Rahman Bin Shahid, Ahmed Imteaj. 137-142 [doi]
• HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane ForecastingShouwei Gao, Meiyan Gao, Yuepeng Li, Wenqian Dong. 143-150 [doi]
• Revealing the Utilized Rank of Subspaces of Learning in Neural NetworksIsha Garg, Christian Koguchi, Eshan Verma, Daniel Ulbricht. 151-158 [doi]
• Edge LLMs for Real-Time Contextual Understanding with Ground RobotsTamilselvan Gurunathan, Muhammad Shehrose Raza, Aswin Kumar Janakiraman, Md. Azim Khan, Biplab Pal, Aryya Gangopadhyay. 159-166 [doi]
• Rethinking PUF Design for Scalable Edge AI: A Position on Balancing ML-Attack Resistance and Real-World DeploymentGaoxiang Li, Yu Zhuang. 167-171 [doi]
• DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space PruningXukun Liu, Haoze Lv, Fenglong Ma, Chi Wang, Dongkuan Xu. 172-179 [doi]
• GenAI at the Edge: Comprehensive Survey on Empowering Edge DevicesMozhgan Navardi, Romina Aalishah, Yuzhe Fu, Yueqian Lin, Hai Li 0001, Yiran Chen 0001, Tinoosh Mohsenin. 180-187 [doi]
• Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge BaseSatvik Verma, Qun Wang, E. Wes Bethel. 188-195 [doi]
• ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the EdgeMikolaj Walczak, Uttej Kallakuri, Tinoosh Mohsenin. 196-203 [doi]
• One Word, One Command, One Translation: Combining GenAI and Traditional Approaches in Simulating In-Situ Spoken Human Interaction for Medical and Engineering ApplicationsChristina Alexandris. 205-212 [doi]
• Revisiting the Trolley Problem for AI: Biases and Stereotypes in Large Language Models and their Impact on Ethical Decision-MakingSahan Hatemo, Christof Weickhardt, Luca Gisler, Oliver Bendel. 213-219 [doi]
• AI Guide Dog: Egocentric Path Prediction on SmartphoneAishwarya Jadhav, Jeffery Cao, Abhishree Shetty, Urvashi Priyam Kumar, Aditi Sharma, Ben Sukboontip, Jayant Sravan Tamarapalli, Jingyi Zhang, Aniruddh Koul. 220-227 [doi]
• Toward a Capture-Track-Respond Framework: A Survey of Data-Driven Methods for Countering LLM-Generated MisinformationHan Kyul Kim, Andy Skumanich. 228-234 [doi]
• A Recommender System Architecture for University Curriculum AdvisingZerui Ma, Michael Hahsler, Peter Moore. 235-241 [doi]
• AI-Based Facial-Age Detection and IoT for Enhanced Data Security in Social MediaPascal Muam Mah, Iwona Skalna, Tomasz Pelech-Pilichowski. 242-249 [doi]
• An Interactive Monitoring Robot for Dementia Mitigation via Daily Conversations with Multiple LLMsMasayuki Numao, Masahiro Kawamura. 250-255 [doi]
• Miss Tammy as a Use Case for Moral Prompt EngineeringMyriam Rellstab, Oliver Bendel. 256-263 [doi]
• Balee Carpet Karuta: Interactive Generation of Data Analytical Requirements and Hypothetical QuestionsKaira Sekiguchi, Yukio Ohsawa. 264-271 [doi]
• Towards Human-Compatible AI for Well-being by Integrating Physiological Viewpoint With Machine Learning ViewpointKeiki Takadama, Daiki Shintani. 272-277 [doi]
• Human-Compatible AI and AI-Powered Science: Insights from AAAI Spring Symposium and BeyondTakashi Kido. 279-282 [doi]
• Issues and Concerns About GenAI and How We Can Smartly Use It in EducationAnoshua Chaudhuri, Dragutin Petkovic. 284-285 [doi]
• Estimation and Correlation of Student Maturity with Social Attributes Using Large Language Models and TransformersRidhima Kar, Parijat Kar. 286-290 [doi]
• Challenges in Human-Compatible AI for Well-being: Harnessing Potential of GenAI for AI-Powered ScienceTakashi Kido, Keiki Takadama. 291-292 [doi]
• Artificial Emotional Intelligence's Potential in Improving Social Wellness of Older AdultsAna Rusch. 293-295 [doi]
• Enhancing Work Efficiency and Learning Effectiveness with Generative AI Chatbots in Civil EngineeringTakahiro Yonekawa, Yuki Sugisaki. 296-297 [doi]
• Towards Automated Safety Requirements Derivation Using Agent-based RAGBalahari Vignesh Balu, Florian Geissler, Francesco Carella, João-Vitor Zacchi, Josef Jiru, Núria Mata, Reinhard Stolle. 299-307 [doi]
• Neurosymbolic Visual Reasoning for Ambiguity ResolutionJustin Brody. 308-316 [doi]
• Evaluation of Concept Induction in Explainable AI Using Multiple DatasetsSamatha Ereshi Akkamahadevi, Abhilekha Dalal, Pascal Hitzler. 317-326 [doi]
• Convergence of Chatbot Personalities Using Reinforcement Learning and Text GenerationParijat Kar, Ridhima Kar. 327-333 [doi]
• Knowledge-Enhanced Geospatial QA: Integrating Wikidata Fact Verification with LLMsSanaz Saki Norouzi, Pascal Hitzler. 334-339 [doi]
• LLM-ACTR: from Cognitive Models to LLMs in Manufacturing SolutionsSiyu Wu, Alessandro Oltramari, Jonathan Francis, C. Lee Giles, Frank E. Ritter. 340-349 [doi]
• Autonomous Research Assistants for Hybrid Intelligence: Landscape and ChallengesGiacomo Zamprogno, Ilaria Tiddi, Bart Verheij. 350-358 [doi]
• Engineering the Reproducible Literature Review Section for Scholarly Publications and Grant ApplicationsYuanxi Fu, Jodi Schneider. 360-364 [doi]
• Dialectic Preference Bias in Large Language ModelsMuhammad Furquan Hassan, Faiza Khan Khattak, Laleh Seyyed-Kalantari. 365-369 [doi]
• Towards Determining How Deep Neural Models Learn to ReasonAnthony Marchiafava, Atriya Sen. 370-373 [doi]
• Creating Augmented Reality Applications Using Large Language Models: Experiments with the CMAG Framework and ARWFMMFabian Muff, Hans-Georg Fill. 374-378 [doi]
• Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model AdaptationNoel Ngu, Aditya Taparia, Gerardo I. Simari, Mario A. Leiva, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran. 379-383 [doi]
• Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction TuningNeale Ratzlaff, Man Luo, Xin Su 0008, Vasudev Lal, Phillip Howard. 384-388 [doi]
• Probabilistic Foundations for Metacognition via Hybrid-AIPaulo Shakarian, Gerardo I. Simari, Nathaniel D. Bastian. 389-393 [doi]
• MuDoC: An Interactive Multimodal Document-grounded Conversational AI SystemKaran Taneja, Ashok K. Goel 0001. 394-398 [doi]
• A Narrative Agent for the "Family Story Hoard": An Information-Theoretic Framework for Interactive StorytellingCheng-En Tsai, Fanfan Chen, Jane Yung-jen Hsu. 399-403 [doi]
• Exploring Socially Assistive Peer Mediation Robots for Teaching Conflict Resolution to Elementary School StudentsKaleen Shrestha, Harish Dukkipati, Avni Hulyalkar, Kyla Penamante, Ankita Samanta, Maja J. Mataric. 405-414 [doi]
• Dialogic Learning in Child-Robot Interaction: A Hybrid Approach to Personalized Educational Content GenerationElena Malnatsky, Shenghui Wang 0001, Koen V. Hindriks, Mike E. U. Ligthart. 416-420 [doi]
• Ethical Introspection for Improving Child LLM InteractionsArya R. Sarukkai. 422-424 [doi]
• A Practical Approach to Child-Robot Interaction in the ClassroomThomas Sievers. 425-429 [doi]
• A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and QualityShan Suthaharan. 431-438 [doi]