AAAI 2026

4,920 papers

The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All

Zifan Xu, Kristen Procko, Michael Munje, Kristin Patterson, Lea Sabatini

Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module

Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao

Large Participation Experiential Learning Activity for Multiagent Systems

Alan Tsang

AI Scholars Program: Scaling AI Literacy Through K-12 Outreach

Xiaoyi Tian, Yasitha Rajapaksha, Ally Limke, Clara DiMarco, Emily Bryans Dobar

Beyond Prompting: AI Safety Education in the Generative AI Era

Phan Xuan Tan, Eiji Kamioka, Van Nguyen

Understanding the Effects of GenAI as No-Code Alternative for Teaching Machine Learning Workflows

Martin Strobel

AI Unplugged: Embodied Interactions for AI Literacy in Higher Education

Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan

LeanTutor: Towards a Verified AI Mathematical Proof Tutor

Manooshree Patel, Rayna Bhattacharyya, Thomas Lu, Arnav Mehta, Niels Voss

Effective Strategies for Teaching Machine Learning

Firas Moosvi, Fraida Fund, Varada Kolhatkar, Meiying Qin, Thomas Price

EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants

Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi

Impact of a Data-driven Teaching Approach on 9th Graders Conceptual Understanding of Machine Learning

Erik Marx, Thiemo Leonhardt, Nadine Bergner

Analysis of Motivations in Machine Learning Textbooks

Khushi Malik, Amber Richardson, Tingting Zhu, Lisa Zhang

Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors

Zifeng Liu, Hai Li, Jie Chao, Wanli Xing

Educating the Public in Artificial Intelligence: Insights from a Large-Scale Course

Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher, Evgenia Christoforou

‘What Do Children Think About AI?’: Insights and Educational Implications from Primary School Students’ Perceptions of AI

Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher

MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer

Joaquín Jordán, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi

Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities

Ann-Marie Gursch, Xuanshu Luo, Lilian Hasse, Carsten Trinitis, Ulrike Lucke

Integrating AI Competencies into Teacher Education Programs

Amy Eguchi, Stacy George, Lucretia Fraga, Nancye Blair Black, Alecia Blackwood

Balancing Scaffolding and Autonomy: A Case Study in Designing a Scalable Undergraduate Machine Learning Research Course

Xinyue Chen, Sharon Jessica, Xu Wang, Sindhu Kutty

Bridging the Skills Gap: A Course Model for Modern Generative AI Education

Anya Bardach, Hamilton Murrah

Unplugged Activities on Machine Learning and Their Evaluation Through Mental States Attribution

Matteo Baldoni, Cristina Baroglio, Monica Bucciarelli, Sara Capecchi, Leonardo Castellani

Sound-AI: A Pedagogical Tool for Exploring AI in Audio and Bioacoustic Research

Muhammad Azeem, Hoang D. Nguyen, Rosane Minghim

Exploring Cross-Cultural Perspectives on AI Education: Insights from Teachers in Nigeria and the USA

Cornelius O Adejoro, Oghenemaro Anuyah, Ali Raza, Karla Badillo-Urquiola, Tom Yeh

A Guardrail Framework for Sensitive Financial Information Protection: A Taxonomy-Driven Approach

Mehdi Yekrangi, Houssem Chatbri, Claudia Beatrice Chianella, Owen O'Neill

Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis

Yuze Sun, Wentao Luo, Yanfei Xiang, Jiancheng Pan, Jiahao Li

GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs

Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju, Biplav Srivastava

Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments

Ziming Dai, Tuo Zhang, Fei Gao, Xingyi Cai, Xiaofei Wang

Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care

Yupeng Zhuo, Eddie Zhang, Xiangchen Yu, Aditya Pachpande, Andrew W. Kirkpatrick

An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies

Julian Zhong-Nan Zhang, Yang Yu

Octopus: Entropy-Controlled Science Fiction Literature Generation with Persistent Memory-Context Binding

Xu Wang, Jiaju Kang, Puyu Han, Zeyu Ai, Luqi Gong

AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System

Qixin Wang, Dawei Wang, Kun Chen, Yaowei Hu, Puneet Girdhar

Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support

Chibuike E. Ugwu, Roschelle Fritz, Diane J. Cook, Jana Doppa

LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation

Gregory Hok Tjoan Go, Khang Ly, Anders Søgaard, Seyed Amin Tabatabaei, Maarten de Rijke

A Unified Geospatial Clustering Framework to Identify Varying Density Clusters in E-Commerce Logistics

Arpit Tiwari, Bhavuk Singhal, Anshu Aditya, Aryan Tiwari, Shubham Jain

Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection

Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer

CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing

Chathurangi Shyalika, Aryaman Sharma, Fadi El Kalach, Utkarshani Jaimini, Cory Henson

From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production

Segev Shlomov, Alon Oved, Sami Marreed, Ido Levy, Offer Akrabi

Transferable RL for Real-World Navigation Using Semantic Segmentation and Bird’s-Eye View Abstraction

Benedikt Schlereth-Groh, Sakir Furkan Yöndem, Ramin Tavakoli Kolagari

LLM-Enabled Scientific Knowledge Diffusion Analysis

Uttam Rao, Madhav Marathe

Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment

Md Masudur Rahman, Mohamed El Masry, Gayle Gordillo, Juan Wachs

Lightweight Additive Blend Maps for Texture-Preserving Face Retouching: A Neural Approach to Traditional Photographic Techniques

Abinash Pegu

Automatic Funny Scene Extraction from Long-form Cinematic Videos

Sibendu Paul, Haotian Jiang, Caren Chen

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine

Unmesh Padalkar

TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems

Yabo Ni, Cao Yuanpeng, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory

Mark Moussa, Amber V. Young, Brianna Isola, Vasuda Trehan, Michael D. Himes

PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations

Gao Mo, Naveen Janaki Raman, Megan Chai, Cindy Peng, Shannon Pagdon

NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation

Pratik Mishra, Caner Gözübüyük, Seema Nagar, Prateeti Mohapatra, Raya Wittich

Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response

Thomas Manzini, Priyankari Perali, Robin R. Murphy

Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset

Frederik Rajiv Manichand, Robin Deuber, Robert Jakob, Steve Swerling, Jamie Rosen

RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials

Sel Ly, Rufan Yang, Ninad Dixit, Hung Dinh Nguyen

LLM4Sweat: A Trustworthy Large Language Model for Hyperhidrosis Support

Wenjie Lin, Jin Wei-Kocsis

REMEDIS: A Clinical AI Framework for Retinal Disease Diagnosis with Explainable Fundus Image Analysis

Youngkyu Lee, Jinho Lee, Youngdae Jo, Jeongwoo Park

DEEP: A Discourse Evolution Engine for Predictions About Social Movements

Valerio La Gatta, Marco Postiglione, Jeremy Gilbert, Daniel W. Linna Jr., Morgan Manella Greenfield

InfrastructureSentinel: Policy Enforced Guardrails for Secure MCP-driven Infrastructure Agents

Tarun Kumar, Aalap Tripathy, Gayathri Saranathan, Martin Foltin, Suparna Bhattacharya

Building Domain-Specific Small Language Models via Guided Data Generation

Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat

Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction

Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Böersch-Supan, Lily Xu

A Metacognitive Architecture for Correcting LLM Errors in AI Agents

Jisu KIM, Mahimul Islam, Ashok Goel

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture

Qiming Guo, Bishal Khatri, Wenbo Sun, Jinwen Tang, Hua Zhang

RatioMorph: Controllable Diffusion Framework for Automotive Viewpoint and Proportion Manipulation in Vehicle Design

Haeji Go, Jae-Hun Lee, Shinyeong Noh, Kayoung Kim, Kyuseong Lim

Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory

Taylor Dinkins, Weng-Keen Wong, Basavaraj Amogi, Paola Pesantez-Cabrera, Jaitun Patel

Integrating Fourier Neural Operators into High-Fidelity Helicopter Flight Simulation for Real-Time Urban Wind Prediction

Maximilian Dauner, Michael Kurz, Gudrun Socher, Alexander Knoll

Prediction of Hospital Associated Infections During Continuous Hospital Stays

Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein, Gregory R. Madden, Xinwei Deng

Diversity Meets Relevancy: Multi-Agent Knowledge Probing for Industry 4.0 Applications

Christodoulos Constantinides, Dhaval Patel, Scott Kimbleton, Nishu Garg, Muhammad Paracha

AgroAskAI: A Multi-Agentic AI Framework for Supporting Smallholder Farmers’ Enquiries Globally

Nadine Angela Palanca Cantonjos, Arpita Biswas

Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis

Federico Cabitza, Andrea Campagner, Gian Eugenio Tontini

Experience with Single Domain Generalization in Real World Medical Imaging Deployments

Ayan Banerjee, Komandoor Srivathsan, Sandeep K.S. Gupta

Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data

Raphael Anaadumba, Nazim A.Belabbaci, Connor Sullivan, Anton Kovalev, Yidong Zhu

Automated Creation and Enrichment Framework for Improved Invocation of Enterprise APIs as Tools

Prerna Agarwal, Himanshu Gupta, Soujanya Soni, Rohith D Vallam, Renuka Sindhgatta

Deployed AI Agents for Industrial Asset Management: CodeReAct Framework for Event Analysis and Work Order Automation

Nianjun Zhou, Dhaval Patel, Anamitra Bhattacharyya

ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems

Gaowei Zhang, Wei Wang, Tiong Lee Kong, Kai Xing, Huan Li

Optimizing Product Provenance Verification Using Data Valuation Methods

Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck

TRUST: Transaction Risk via Unified Sequence and Topology

Rithvik Y, Bhavuk Singhal, Shubham Jain, Akshat Garg, Karan Tanwar

Who Is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition

Yang Xi, Orelia Pi, Miaomiao Zhang, Rebecca Xiong, Jacqueline Lane

TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin

Yibing Wan, Zhengxiong Guan, Chaoli Zhang, Xiaoyang Li, Lai Xu

LLM-Based Agent for Competitive Landscape Mapping in Drug Asset Due Diligence

Vlad Vinogradov, Alisa Vinogradova, Dmitrii Radkevich, Ilya Yasny, Dmitry Kobyzev

Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale

Chinmay Soni, Shivam Chourasia, Gaurav Kumar, Hitesh Kapoor

Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models

Sudarshan Srinivasa Ramanujam, Antonio Alonso, Saurabh Kataria, Siddharth Dangi, Akhilesh Gupta

RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue

Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

Daniel Mas Montserrat, Ray Verma, Míriam Barrabés, Francisco M. de la Vega, Carlos D. Bustamante

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production

Junhua Liu, Yong Keat Tan, BIN FU, Kwan Hui Lim

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design

Junhua Liu, Fanfan Lin, Xinze Li, Shuai Zhao, Kwan Hui Lim

Talking Trails: LLM-Enhanced Spatiotemporal Trajectory Modeling for E-Bike Delivery Route Planning

Zhao Li, Mingwu Liu, Xu-Hua Yang, Haipeng Dai, Ji Zhang

LiBrain: LLM-Powered Li-ion Battery Diagnostics with Time-Series-Aware Retrieval-Augmented Framework for E-bikes

Zhao Li, Zixin Lin, Donghui Ding, Yichen Zhong, Biao Wang

Layout-Aware Document Parsing with Visual-Linguistic Fusion: The DATA-LUX with Academic Content Service Provider

Min Chan Kim, Yeonkyung Kim, Jae Won Lee, Ki Hwan Kim, Ji Woo Kwak

Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication

Sami Khairy, Gabriel Mittag, Vishak Gopal, Ross Cutler

A Deployed Investigative AI Search Engine for Combating Human Trafficking at Web Scale

Mayank Kejriwal

Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System

Ananya Joshi, Nolan Gormley, Richa Gadgil, Catalina Vajiac, Tina Townes

Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems

Weijie Jiang, Armando Ordorica, Jaewon Yang, Olafur Gudmundsson, Yucheng Tu

DCRNet: Delayed Conversion Modeling Based Personalized Flight Itinerary Ranking Network

Maolei Huang, Zhuangzhuoran, Detao Lv, Yuantong Li, Shuhan Song

Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector

Jayden Hsiao, Aryan Kalia, Zhonghao Zhang, Hudson Sun, Muhammed Patel

MAFA: A Multi-Agent Framework for Enterprise-Scale Annotation with Configurable Task Adaptation

Mahmood Hegazy, Aaron Rodrigues, Azzam Naeem

Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study

Pranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra

From Natural Language to Executable ETL Flows: The IBM DataStage Assistant

Nitin Gupta, Thomas Gschwind, Shramona Chakraborty, Sameep Mehta, Tristan Tyler

Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design

Azza Fadhel, Nathaniel W. Zuckschwerdt, Aryan Deshwal, Susmita Bose, Amit Bandyopadhyay

PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation

Abhishek Divekar, Anirban Majumder

Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation

Jimyung Choi, Yujin Lee, Hyeryeong Oh, Sumin Shin, Jaehyun Kim

SARA: Leveraging LLM Agents and Jurisprudential Ontologies for Automated Legal Reasoning

Francisco C J Bonfim, Sara Pessoa SIlva, Alicia S Neves, Henrique Santos, Joao A Monteiro Neto

TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint)

Shaohong Zhong, Alessandro Albini, Perla Maiolino, Ingmar Posner

HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction (Abstract Reprint)

Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers

HiMo: High-Speed Objects Motion Compensation in Point Clouds (Abstract Reprint)

Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri