Machine Learning and Knowledge Engineering for Trustworthy Multimodal and Generative AI (AAAI-MAKE) (Full Papers)

Autonomous Research Assistants for Hybrid Intelligence: Landscape and Challenges

Authors: Giacomo Zamprogno; Ilaria Tiddi; Bart Verheij

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Neurosymbolic Visual Reasoning for Ambiguity Resolution

Authors: Justin Brody

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LLM-ACTR: from Cognitive Models to LLMs in Manufacturing Solutions

Authors: Siyu Wu; Alessandro Oltramari; Jonathan Francis; C. Lee Giles; Frank E. Ritter

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Knowledge-Enhanced Geospatial QA: Integrating Wikidata Fact Verification with LLMs

Authors: Sanaz Saki Norouzi; Pascal Hitzler

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Towards Automated Safety Requirements Derivation Using Agent-based RAG

Authors: Balahari Vignesh Balu; Florian Geissler; Francesco Carella; Joao-Vitor Zacchi; Josef Jiru; Nuria Mata; Reinhard Stolle

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Convergence of Chatbot Personalities Using Reinforcement Learning and Text Generation

Authors: Parijat Kar; Ridhima Kar

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Evaluation of Concept Induction in Explainable AI Using Multiple Datasets

Authors: Samatha Ereshi Akkamahadevi; Abhilekha Dalal; Pascal Hitzler

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Machine Learning and Knowledge Engineering for Trustworthy Multimodal and Generative AI (AAAI-MAKE) (Position Papers)

Probabilistic Foundations for Metacognition via Hybrid-AI

Authors: Paulo Shakarian; Gerardo I. Simari; Nathaniel D. Bastian

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Dialectic Preference Bias in Large Language Models

Authors: Muhammad Furquan Hassan; Faiza Khan Khattak; Laleh Seyyed-Kalantari

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Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation

Authors: Noel Ngu; Aditya Taparia; Gerardo I. Simari; Mario Leiva; Ransalu Senanayake; Paulo Shakarian; Nathaniel D. Bastian; John Corcoran

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Creating Augmented Reality Applications Using Large Language Models: Experiments with the CMAG Framework and ARWFMM

Authors: Fabian Muff; Hans-Georg Fill

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A Narrative Agent for the “Family Story Hoard”: An Information-Theoretic Framework for Interactive Storytelling

Authors: Cheng-En Tsai; Fanfan Chen; Jane Yung-jen Hsu

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Towards Determining How Deep Neural Models Learn to Reason

Authors: Anthony Marchiafava; Atriya Sen

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Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning

Authors: Neale Ratzlaff; Man Luo; Xin Su; Vasudev Lal; Phillip Howard

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MuDoC: An Interactive Multimodal Document-grounded Conversational AI System

Authors: Karan Taneja; Ashok K. Goel

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Engineering the Reproducible Literature Review Section for Scholarly Publications and Grant Applications

Authors: Yuanxi Fu; Jodi Schneider

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Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation

A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality

Authors: Shan Suthaharan

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Edge LLMs for Real-Time Contextual Understanding with Ground Robots

Authors: Tamil Selvan Gurunathan; Muhammad Shehrose Raza; Aswin Kumar Janakiraman; Md Azim Khan; Biplab Pal; Aryya Gangopadhyay

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HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting

Authors: Shouwei Gao; Meiyan Gao; Yuepen Li; Wenqian Dong

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ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge

Authors: Mikolaj Walczak; Uttej Kallakuri; Tinoosh Mohsenin

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GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices

Authors: Mozhgan Navardi; Romina Aalishah; Yuzhe Fu; Yueqian Lin; Hai Li; Yiran Chen; Tinoosh Mohsenin

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Rethinking PUF Design for Scalable Edge AI: A Position on Balancing ML-Attack Resistance and Real-World Deployment

Authors: Gaoxiang Li; Yu Zhuang

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DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space Pruning

Authors: Xukun Liu; Haoze Lv; Fenglong Ma; Chi Wang; Dongkuan Xu

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Revealing the Utilized Rank of Subspaces of Learning in Neural Networks

Authors: Isha Garg; Christian Koguchi; Eshan Verma; Daniel Ulbricht

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Benchmarking Large-Language Models for Resource-Efficient Medical AI for Edge Deployment

Authors: Awal Ahmed Fime; Md Zarif Hossain; Saika Zaman; Abdur Rahman Bin Shahid; Ahmed Imteaj

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Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base

Authors: Satvik Verma; Qun Wang; E. Wes Bethel

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Symposium on Child-AI Interaction in the Era of Foundation Models (Short papers)

A Practical Approach to Child-Robot Interaction in the Classroom

Authors: Thomas Sievers

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Ethical Introspection for Improving Child LLM Interactions

Authors: Arya R. Sarukkai

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Symposium on Child-AI Interaction in the Era of Foundation Models (Position papers)

Dialogic Learning in Child-Robot Interaction: A Hybrid Approach to Personalized Educational Content Generation

Authors: Elena Malnatsky; Shenghui Wang; Koen V. Hindriks; Mike E.U. Ligthart

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Symposium on Child-AI Interaction in the Era of Foundation Models (Full papers)

Exploring Socially Assistive Peer Mediation Robots for Teaching Conflict Resolution to Elementary School Students

Authors: Kaleen Shrestha; Harish Dukkipati; Avni Hulyalkar; Kyla Penamante; Ankita Samanta; Maja Matarić

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Toward a Capture-Track-Respond Framework: A Survey of Data-Driven Methods for Countering LLM-Generated Misinformation

Authors: Han Kyul Kim; Andy Skumanich

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AI-Based Facial-Age Detection and IoT for Enhanced Data Security in Social Media

Authors: Pascal Muam Mah; Iwona Skalna; Tomasz Pelech-Pilichowski

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Revisiting the Trolley Problem for AI: Biases and Stereotypes in Large Language Models and their Impact on Ethical Decision-Making

Authors: Sahan Hatemo; Christof Weickhardt; Luca Gisler; Oliver Bendel

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One Word, One Command, One Translation: Combining GenAI and Traditional Approaches in Simulating In-Situ Spoken Human Interaction for Medical and Engineering Applications

Authors: Christina Alexandris

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AI Guide Dog: Egocentric Path Prediction on Smartphone

Authors: Aishwarya Jadhav; Jeffery Cao; Abhishree Shetty; Urvashi Kumar; Aditi Sharma; Ben Sukboontip; Jayant Tamarapalli; Jingyi Zhang; Aniruddh Koul

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An Interactive Monitoring Robot for Dementia Mitigation via Daily Conversations with Multiple LLMs

Authors: Masayuki Numao; Masahiro Kawamura

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A Recommender System Architecture for University Curriculum Advising

Authors: Zerui Ma; Michael Hahsler; Peter Moore

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Miss Tammy as a Use Case for Moral Prompt Engineering

Authors: Myriam Rellstab; Oliver Bendel

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Towards Human-Compatible AI for Well-being by Integrating Physiological Viewpoint With Machine Learning Viewpoint

Authors: Keiki Takadama; Daiki Shintani

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Balee Carpet Karuta: Interactive Generation of Data Analytical Requirements and Hypothetical Questions

Authors: Kaira Sekiguchi; Yukio Ohsawa

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Artificial Emotional Intelligence’s Potential in Improving Social Wellness of Older Adults

Authors: Ana Rusch

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Challenges in Human-Compatible AI for Well-being: Harnessing Potential of GenAI for AI-Powered Science

Authors: Takashi Kido; Keiki Takadama

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Enhancing Work Efficiency and Learning Effectiveness with Generative AI Chatbots in Civil Engineering

Authors: Takahiro Yonekawa; Yuki Sugisaki

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Estimation and Correlation of Student Maturity with Social Attributes Using Large Language Models and Transformers

Authors: Ridhima Kar; Parijat Kar

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Issues and Concerns About GenAI and How We Can Smartly Use It in Education

Authors: Anoshua Chaudhuri; Dragutin Petkovic

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Human-Compatible AI and AI-Powered Science: Insights from AAAI Spring Symposium and Beyond

Authors: Takashi Kido

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AI for Health Symposium: Leveraging Artificial Intelligence to Revolutionize Healthcare (SSS-25) (Full Papers)

Co-HSF: Resource-Efficient One-Shot Semi-Supervised Adaptation of Histopathology Foundation Models

Authors: Luca Cerny Oliveira; Kartik Patwari; Xiaoguang Zhu; Sen-Ching Cheung; Brittany N. Dugger; Chen-Nee Chuah

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Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Sub-type Classification

Authors: Marco Dossena; Christopher Irwin; Annalisa Chiocchetti; Luigi Portinale

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AI for Health Symposium: Leveraging Artificial Intelligence to Revolutionize Healthcare (SSS-25) (Short Papers)

A General Paradigm for Fine-Tuning Large Language Models in Alzheimer’s Disease Diagnosis

Authors: Marcus Zhan; Kun Zhao; Guodong Liu; Haoteng Tang

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End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework

Authors: Yao Su; Keqi Han; Mingjie Zeng; Lichao Sun; Liang Zhan; Carl Yang; Lifang He; Xiangnan Kong

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Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database

Authors: Jyothi Vaidyanathan; Shourya Gupta; Justin Lee; Srikanth Prabhu; Saptarshi Sengupta

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SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses

Authors: Xinwei Luo; Songlin Zhao; Yun Zong; Yong Chen; Gui-Shuang Ying; Lifang He

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Teaming with AI: A Multi-Modal Investigation of Human-AI Team Dynamics

Authors: Yinuo Qin; Paul Sajda

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Spring Sypmposium 25 Paper Preprints

Machine Learning and Knowledge Engineering for Trustworthy Multimodal and Generative AI (AAAI-MAKE) (Full Papers)

Autonomous Research Assistants for Hybrid Intelligence: Landscape and Challenges

Neurosymbolic Visual Reasoning for Ambiguity Resolution

LLM-ACTR: from Cognitive Models to LLMs in Manufacturing Solutions

Knowledge-Enhanced Geospatial QA: Integrating Wikidata Fact Verification with LLMs

Towards Automated Safety Requirements Derivation Using Agent-based RAG

Convergence of Chatbot Personalities Using Reinforcement Learning and Text Generation

Evaluation of Concept Induction in Explainable AI Using Multiple Datasets

Machine Learning and Knowledge Engineering for Trustworthy Multimodal and Generative AI (AAAI-MAKE) (Position Papers)

Probabilistic Foundations for Metacognition via Hybrid-AI

Dialectic Preference Bias in Large Language Models

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation

Creating Augmented Reality Applications Using Large Language Models: Experiments with the CMAG Framework and ARWFMM

A Narrative Agent for the “Family Story Hoard”: An Information-Theoretic Framework for Interactive Storytelling

Towards Determining How Deep Neural Models Learn to Reason

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning

MuDoC: An Interactive Multimodal Document-grounded Conversational AI System

Engineering the Reproducible Literature Review Section for Scholarly Publications and Grant Applications

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation

A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality

GenAI@Edge: Empowering Generative AI at the Edge

Edge LLMs for Real-Time Contextual Understanding with Ground Robots

HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting

ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge

GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices

Rethinking PUF Design for Scalable Edge AI: A Position on Balancing ML-Attack Resistance and Real-World Deployment

DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space Pruning

Revealing the Utilized Rank of Subspaces of Learning in Neural Networks

Benchmarking Large-Language Models for Resource-Efficient Medical AI for Edge Deployment

Intelligent IoT Attack Detection Design via ODLLM with Feature Ranking-based Knowledge Base

Symposium on Child-AI Interaction in the Era of Foundation Models (Short papers)

A Practical Approach to Child-Robot Interaction in the Classroom

Ethical Introspection for Improving Child LLM Interactions

Symposium on Child-AI Interaction in the Era of Foundation Models (Position papers)

Dialogic Learning in Child-Robot Interaction: A Hybrid Approach to Personalized Educational Content Generation

Symposium on Child-AI Interaction in the Era of Foundation Models (Full papers)

Exploring Socially Assistive Peer Mediation Robots for Teaching Conflict Resolution to Elementary School Students

Human-Compatible AI for Well-being (Full Papers)

Toward a Capture-Track-Respond Framework: A Survey of Data-Driven Methods for Countering LLM-Generated Misinformation

AI-Based Facial-Age Detection and IoT for Enhanced Data Security in Social Media

Revisiting the Trolley Problem for AI: Biases and Stereotypes in Large Language Models and their Impact on Ethical Decision-Making

One Word, One Command, One Translation: Combining GenAI and Traditional Approaches in Simulating In-Situ Spoken Human Interaction for Medical and Engineering Applications

AI Guide Dog: Egocentric Path Prediction on Smartphone

An Interactive Monitoring Robot for Dementia Mitigation via Daily Conversations with Multiple LLMs

A Recommender System Architecture for University Curriculum Advising

Miss Tammy as a Use Case for Moral Prompt Engineering

Towards Human-Compatible AI for Well-being by Integrating Physiological Viewpoint With Machine Learning Viewpoint

Balee Carpet Karuta: Interactive Generation of Data Analytical Requirements and Hypothetical Questions

Human-Compatible AI for Well-being (Short Papers)

Artificial Emotional Intelligence’s Potential in Improving Social Wellness of Older Adults

Challenges in Human-Compatible AI for Well-being: Harnessing Potential of GenAI for AI-Powered Science

Enhancing Work Efficiency and Learning Effectiveness with Generative AI Chatbots in Civil Engineering

Estimation and Correlation of Student Maturity with Social Attributes Using Large Language Models and Transformers

Issues and Concerns About GenAI and How We Can Smartly Use It in Education

Human-Compatible AI for Well-being (Position Papers)

Human-Compatible AI and AI-Powered Science: Insights from AAAI Spring Symposium and Beyond

AI for Health Symposium: Leveraging Artificial Intelligence to Revolutionize Healthcare (SSS-25) (Full Papers)

Co-HSF: Resource-Efficient One-Shot Semi-Supervised Adaptation of Histopathology Foundation Models

Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Sub-type Classification

AI for Health Symposium: Leveraging Artificial Intelligence to Revolutionize Healthcare (SSS-25) (Short Papers)

A General Paradigm for Fine-Tuning Large Language Models in Alzheimer’s Disease Diagnosis

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework

Survival Analysis for Cancers of the Brain, CNS and Bone using Retrieval Augmented Generation on the SEER Database

SegImgNet: Segmentation-Guided Dual-Branch Network for Retinal Disease Diagnoses

Current and Future Varieties of Human-AI Collaboration

Teaming with AI: A Multi-Modal Investigation of Human-AI Team Dynamics