AAAI 2026

4,920 papers

Multi-Armed Bandits Meet Large Language Models

Djallel Bouneffouf, Raphaël Féraud

The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?

Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney

On Trustworthy, Explainable, and Verifiable High-Level Autonomy via Hierarchical Planning

Roman Barták

The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence

Weilin Zhou

Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs

Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin

Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models

Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen

HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting

Zichi Zhang, Phi Hung Nguyen, Ngoc Phu Doan, Viet-Hung Tran, Xuan Hoang Nguyen

Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms

XuWen Zhang, Xiao Xue, Xia Xie, Qun Ma

Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation

Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li

Game Theory Based Community-Aware Opinion Dynamics

Shanfan Zhang, Yongyi Lin, Xiaoting Shen, Zhan Bu, Yuan Rao

Scaling Equitable Reflection Assessment in Education via Large Language Models and Role-Based Feedback Agents

Chenyu Zhang, Xiaohang Luo

Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies

Bowen Zhang, Hongda Tian, Adam Berry, A. Craig Roussac

Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network

Yicheng Zhan, Fahim Ahmed, Amy Burrell, Matthew Tonkin, Sarah Galambos

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach

Khadija Zanna, Akane Sano

TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction

Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang

Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards

Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati, Raphael Theilen, Jakob Wittenstein

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang

A Human-AI Collaboration Mechanism Study on AIGC Assisted Image Production for Special Coverage

Yajie Yang, Yuqing Zhao, Xiaochao Xi, Yinan Zhu

HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models Through Curriculum Tuning

Qihao Yang, Xuelin Wang, Jiale Chen, Xuelian Dong, Yuxin Hao

Multivariate Gaussian Representation Learning for Medical Action Evaluation

Luming Yang, Haoxian Liu, Siqing Li, Alper Yilmaz

PandemIQ Llama: A Domain-Adapted Foundation Model for Enhanced Pandemic Intelligence

Jingmei Yang, Mahtab Talaei, Britta Lassmann, Nahid Bhadelia, Ioannis Ch. Paschalidis

STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter

Ziqi Xu, Yi Liu, Yuekang Li, Ling Shi, Kailong Wang

BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction

Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun

Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring

Wenhao Xu, Akshatha Arodi, Jian-Yun Nie, Arsene Fansi Tchango

LLM Safety in Judicial AI: A Stress Test of Social Media Influence on Real-World Judgments

Yixuan Xie, Yang He, Xiaoyu Yang, Xu Gai, Pan Hui

Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning

Yin Wu, Zhengxuan Zhang, Jiayu Chen, Chang Xu, Yuyu Luo

Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework

Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan

DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting

Penghui Wen, Mengwei He, Patrick Filippi, Na Zhao, Feng Zhang

EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services

Keshara Weerasinghe, Xueren Ge, Tessa Heick, Lahiru Nuwan Wijayasingha, Anthony Cortez

Fair Graph Learning with Limited Sensitive Attribute Information

Zichong Wang, jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen

Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty

Zeqiang Wang, Rebecca Oldroyd, Yuqi Wang, Jiageng Wu, jie Yang

Shaping Human–AI Collaboration in Education: Effects of AI-Assisted Decision-Making Paradigms and Human–AI Decision Consistency on Pre-Service Teachers’ Psychological States and Performance

Yingying Wang, Qin Ni, Haoxin Xu, Jiaqi Yin, Tingjiang Wei

EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting

Peijian Wang, Thu Nguyen

Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection

Han Wang, Deyi Ji, Junyu Lu, Lanyun Zhu, Hailong Zhang

CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling

Bichen Wang, Yixin Sun, Junzhe Wang, Hao Yang, Xing Fu

RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting

Meng Wan, Qi Su, Zhixin Xia, Kanglin Chen, Jue Wang

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models

Catherine Villeneuve, Benjamin Akera, Mélisande Teng, David Rolnick

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model

Krishu K Thapa, Supriya Savalkar, Bhupinderjeet Singh, Trong Nghia Hoang, Kirti Rajagopalan

AI in the Wild: A Meta-Analytic Evaluation of Depression Detection from Social Media Data

Xianglu Tang, Joyee W. Jin, Emily Ma, Xingyu Li

Achieving Fairness Without Harm via Selective Demographic Experts

Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham, Ping Zhang, Xueru Zhang

ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation

Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang

BSAN: Behavioral State Attention Network for Modeling Mosquito Host-Seeking Behavior

Haotian Sun, Jessie Zixin Li, John M. Marshall

What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets

Marco Antonio Stranisci, Christian Hardmeier

Investigating Vaccine Buyer’s Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation

Miles Stanley, Soumyajit Datta, Ashutosh Kumar, Ashiqur R. KhudaBukhsh

EvalQAG: A Framework for Automatic Complex QA Generation and a Benchmark QA Dataset for Policy Documents

Kirtan Brijeshbhai Soni, Krish Rupapara, Arpit Rana, Ghanshyam Verma, Paul Buitelaar

SpiderGen: Towards Procedure Generation for Carbon Life Cycle Assessments with Generative AI

Anupama Sitaraman, Bharathan Balaji, Yuvraj Agarwal

Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances

Rishu Kumar Singh, Navneet Shreya, Sarmistha Das, APOORVA SINGH, Sriparna Saha

Resilience Inference for Supply Chains with Hypergraph Neural Network

Zetian Shen, Hongjun Wang, Jiyuan Chen, Xuan Song

OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive

Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu

PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data

Ayushi Sharma, Johanna Trost, Daniel Lusk, Johannes Dollinger, Julian Schrader

AXON: Action Characterization Through Cross-Modal Knowledge Distillation for Neurodiverse Individuals

Siddhant Bikram Shah, Kristina T. Johnson

Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India

Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson

AURA: Development and Validation of an Augmented Unplanned Removal Alert System Using Synthetic ICU Videos

Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung, Namkee Oh, Taerim Kim

Fast 3D Surrogate Modeling for Data Center Thermal Management

Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah J Carmichael, Avisek Naug, Refik Mert Cam

The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies

Disa Sariola, Patrick Button, Aron Culotta, Nicholas Mattei

Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling

Depanshu Sani, Mehar Khurana, Saket Anand

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs

Ahmed Sabir, Markus Kängsepp, Rajesh Sharma

A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction

Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang

Navigation and Interaction for Blind Users via a Cognitive Architecture

Oscar J. Romero, Anthony Tomasic, Elizabeth J. Carter, John Zimmerman, Aaron Steinfeld

Toward Simulating Networked Societies with Formal Institutions Using AI Agents

Michael Richards, Danny Cowser, Daniel Nielson, Jacob W. Crandall

X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and a Novel LLM-Consulted Explanation Framework

Mohammad Zia Ur Rehman, Sai Kartheek Reddy Kasu, Shashivardhan Reddy Koppula, Sai Rithwik Reddy Chirra, Shwetank Shekhar Singh

CCD-Bench: Probing Cultural Conflict in Large Language Model Decision-Making

Hasibur Rahman, Hanan Salam

LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users

Elinor Poole-Dayan, Deb Roy, Jad Kabbara

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis

Markus B. Pettersson, Connor Thomas Jerzak, Adel Daoud

Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization

Zeel B Patel, Vinayak Rana, Nipun Batra

Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping

Joan Nwatu, Longju Bai, Oana Ignat, Rada Mihalcea

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare

Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss

Should You Use LLMs to Simulate Opinions? Quality Checks for Early-Stage Deliberation

Terrence Neumann, Maria De-Arteaga, Sina Fazelpour

Rescind: Countering Image Misconduct in Biomedical Publications with Vision-Language and State-Space Modeling

Soumyaroop Nandi, Prem Natarajan

Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling

Sujay Nair, Evan Austen Coleman, Sherrie Wang, Elsa Olivetti

Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study

Manuel Mosquera, Melissa Verónica Robles, Johan R. Portela, Rubén Manrique

Visual-Friendly Concept Protection via Selective Adversarial Perturbations

Xiaoyue Mi, Fan Tang, You Wu, Juan Cao, Peng Li

Optimizing Urban Service Allocation with Time-Constrained Restless Bandits

Yi Mao, Andrew Perrault

A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery

Thomas Manzini, Priyankari Perali, Raisa Karnik, Robin R. Murphy

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination

Ayan Majumdar, Deborah D. Kanubala, Kavya Gupta, Isabel Valera

GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction

Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening

Zhixiang Lu, Yulong Li, Feilong Tang, Zhengyong Jiang, Chong Li

KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving

Yuhuan Lu, Pengpeng Xu, Wei Wang, Zhen Zhang, Han Liu

MHB: Medical Hallucination Benchmark for Large Language Models in Complex Clinical Tasks

Jianrong Lu, Junwei Liu, Xingyun Zheng, Minghui Yang, Jian Wang

mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing

Ziyang Liu, Siyuan He, Feng Liang, Chang Huang, Shuxin Zhong

MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis

Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao

Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection

Xin Liu, Yuanhang Yu, Peng Zhu, Dawei Cheng, changjun jiang

MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes

Liu Liu, Alexandra Schild, Marco Cipriano, Fatimeh Al Ghannam, Freya Tan

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles

Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing

HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection

Anush Lingamoorthy, Abhishek Kumar Mishra, Olumuyiwa Oni, Jacob S Brenner, Nagarajan Kandasamy

AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys

Chenxi Lin, Weikang Yuan, Zhuoren Jiang, Biao Huang, Ruitao Zhang

EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems

Qingqing Liang, Chunyang Wang, Peiwei Xia, Yanan Zeng, Xin Liu

RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning

Shuaibo Li, Laixin Zhang, Wei Ma, Jianwei Guo, Shibiao Xu

EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization

Ruohan Li, Zhihao Wang, Xiaowei Jia, Gengchen Mai, Lei Ma

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning

Naiyi Li, Zihui Ma, Runlong Yu, Lingyao Li

Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents

Hao Li, Haotian Chen, Ruoyuan Gong, Juanjuan Wang, Hao Jiang

Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining

Bingxuan Li, Pengyi Shi, Amy R Ward

Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets

Matan Levy, Itay Segev, Alexander Tuisov, Sarah Keren

Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity

Yonggeon Lee, Jibin Hwang, Alfred Malengo Kondoro, Juhyun Song, Youngtae Noh

Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts

Sumin Lee, Sungwon Park, Jeasurk Yang, Jihee Kim, Meeyoung Cha

Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios

Sangyub Lee, Heedou Kim, Hyeoncheol Kim

How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets

Chung Peng Lee, Rachel Hong, Harry H. Jiang, Aster Plotnik, William Agnew

CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery

Hou Hei Lam, Jiangjie Qiu, Xiuyuan Hu, Wentao Li, Fankun Zeng

Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution

Deuksin Kwon, Kaleen Shrestha, Bin Han, Spencer Lin, James Hale

CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation

Chenchen Kuai, Chenhao Wu, Yang Zhou, Bruce Wang, Tianbao Yang