AAAI 2026

4,920 papers

Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis

Lars Krupp, Daniel Geißler, Vishal Banwari, Paul Lukowicz, Jakob Karolus

TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection

Girish A. Koushik, Helen Treharne, Aditya Joshi, Diptesh Kanojia

When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital

Avni Kothari, Patrick Vossler, Jean Digitale, Mohammad Forouzannia, Elise Rosenberg

MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging

Shufeng Kong, Zijie Wang, Nuan Cui, Hao Tang, Yihan Meng

Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications

Ashley Klein, Edward Raff, Marcia DesJardin

KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education

Woojin Kim, Changkwon Lee, Hyeoncheol Kim

Preference Robustness for DPO with Applications to Public Health

Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe

NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening

Misaal Khan, Mayank Vatsa, Kuldeep Singh, Richa Singh

ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection

Liangyi Kang, Wei Hua, yan yang, Jie Liu, Dan Ye

Language Models and Logic Programs for Trustworthy Tax Reasoning

William Jurayj, Nils Holzenberger, Benjamin Van Durme

A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical Ethics

Haoan Jin, Han Ying, Jiacheng Ji, Hanhui Xu, Mengyue Wu

Monocular Mesh Recovery and Body Measurement of Female Saanen Goats

Bo Jin, ShichaoZhao, Jin Lyu, Bin Zhang, Tao Yu

SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction

Zheng Jiang, Wei Wang, Gaowei Zhang, Yi Wang

Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility

Hao Jiang, Yixin XU, Pradeep Varakantham

Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting

Pengfei Jia, Jianghong Ma, Baoquan Zhang, Kenghong Lin, Xinyu Zhang

Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation

Sofia Jamil, Kotla Sai Charan, Sriparna Saha, Koustava Goswami, Joseph K J

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study

Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie

Leveraging Sparse Observations to Predict Species Abundance Across Space and Time

Md Zahidul Islam, Cameron S. Fletcher, Ke Sun, Amir Dezfouli, Iadine Chades

Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations

Kazi Ashik Islam, Zakaria Mehrab, Mahantesh M Halappanavar, Henning Mortveit, Katragadda Sridhar

A Compress-Expand Framework for Automatic Lesson Plan Generation

Shuyan Huang, Ying Zheng, Xiaoli Zeng, Zitao Liu

EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images

Huili Huang, Chengeng Liu, Danrong Zhang, Shail Patel, Anastasiya Masalava

DRM-Net: Explicit Residual Modelling with Subaquatic Multi-Scale Context Fusion for Underwater Image Enhancement

Chang Huang, Zhou Zhexin, Jun Ma, Jiatong Shen, Peixuan Xiong

Fine-Grained Interpretation of Political Opinions in Large Language Models

Jingyu Hu, Mengyue Yang, Mengnan Du, Weiru Liu

From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication

Yohei Hayamizu, David DeFazio, Hrudayangam Mehta, Zainab Altaweel, Jacqueline Choe

VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting

Adib Hasan, Mardavij Roozbehani, Munther A. Dahleh

Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion

Chen Han, Yijia Ma, Jin Tan, Wenzhen Zheng, Xijin Tang

Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring

Moti Rattan Gupta, Anupam Sobti

Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning

Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai

Towards Scalable Web Accessibility Audit with MLLMs as Copilots

Ming Gu, Ziwei Wang, Sicen Lai, Zirui Gao, Sheng Zhou

LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning

Marc Grimson, Joshua Fan, Courtney L. Davis, Dylan van Bramer, Daniel Fink

Budgeted Online Active Learning with Expert Advice and Episodic Priors

Kristen Goebel, William Solow, Paola Pesantez-Cabrera, Markus Keller, Alan Fern

LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoning

Zihan Gao, Yifei Xu, Jacob Thebault-Spieker

Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction

Wentao Gao, Xiongren Chen, Xiaojing Du, Wenjun Yu, Andres Mauricio Cifuentes Bernal

CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices

Zhenxiao Fu, Fan Chen, Lei Jiang

Building Instance Segmentation for Dense Urban Settlements

Adnan Firoze, Raymond A. Yeh, Daniel Aliaga

Evaluating Online Moderation via LLM-Powered Counterfactual Simulations

Giacomo Fidone, Lucia Passaro, Riccardo Guidotti

Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond

Joshua Fan, Haodi Xu, Feng Tao, Md Nasim, Marc Grimson

Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities

Guangrui Fan, Dandan Liu, Lihu Pan

Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling

Azza Fadhel, Yassine Chemingui, Minh Hoang, Aryan Deshwal, Trong Nghia Hoang

Beta Distribution Learning for Reliable Roadway Crash Risk Assessment

Ahmad Elallaf, Nathan Jacobs, Xinyue Ye, Mei Chen, Gongbo Liang

How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias

Arka Dutta, Reza Fayyazi, Shanchieh Yang, Ashiqur R. KhudaBukhsh

Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse

Wenchao Dong, Marcelo Sartori Locatelli, Virgilio Almeida, Meeyoung Cha

Capacity Constraints Make Admissions Processes Less Predictable

Evan Dong, Nikhil Garg, Sarah Dean

GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment

Joshua Dimasaka, Christian Geiß, Emily So

Toward Gaze Target Detection of Young Autistic Children

Shijian Deng, Erin E. Kosloski, Siva Sai Nagender Vasireddy, Jia Li, Randi Sierra Sherwood

When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents

Haotian Deng, Sitian Wang, Ruxin Wang, CHEN WEI, Quanying Liu

RiverScope: High-Resolution River Masking Dataset

Rangel Daroya, Taylor Rowley, Jonathan Acero Flores, Elisa Friedmann, Fiona B Bennitt

Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model

Kuai Dai, Hui Su, Xutao Li, Chengxing Zhai

SatSolarCast: A Flexible Framework for Multimodal Solar Irradiance Forecasting via Memory-Alignment Learning

Kuai Dai, Hui Su, Chengxing Zhai, Huiwei Lin, Mingliang Bai

ShortageSim: Simulating Drug Shortages Under Information Asymmetry

Mingxuan Cui, Yilan Jiang, Duo Zhou, Cheng Qian, Yuji Zhang

Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget

Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu

Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation

Zhen Chen, Yi Zhang, Xiangyu Yin, Chengxuan Qin, Xingyu Zhao

Measuring Model Performance in the Presence of an Intervention

Winston Chen, Michael W. Sjoding, Jenna Wiens

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning

Tianhui Cai, Yifan liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao

Democratizing Writing Support with AI: Insights from One Year of Real-World Interactions with an Open-Access Writing Feedback Tool

Babette Bühler, Ivo Bueno, Enkelejda Kasneci

A Theoretical Model for Grit in Pursuing Ambitious Ends

Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Williams Tolbert

Can LLMs Identify Tax Abuse?

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks

Ting Bi, Chenghang Ye, Zheyu Yang, Ziyi Zhou, Cui Tang

Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks

Ankit Bhardwaj, Rohail Asim, Sachin Kumar Chauhan, Yasir Zaki, Lakshmi Subramanian

Mapping on a Budget: Optimizing Spatial Data Collection for ML

Livia Betti, Farooq Sanni, Gnouyaro Z. Sogoyou, Togbe Agbagla, Cullen Molitor

An External Fairness Evaluation of LinkedIn Talent Search

Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe

Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study

Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano, Doina Precup

Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification

Abhipsa Basu, Aviral Gupta, Abhijnya Bhat, Venkatesh Babu Radhakrishnan

Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports

Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg

Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback

Mohammadsina Almasi, Hadis Anahideh

Not All Tokens Are Meant to Be Forgotten

Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models

Tianyi Zhou, Johanne Medina, Sanjay Chawla

Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation

Junwen Zheng, Xinran Xu, Li Rong Wang, Chang Cai, Lucinda Siyun Tan

GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs

Yiyang Zhao, Huiyu Bai, Xuejiao Zhao

Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation

Xin Zhao, Xiaojun Chen, Bingshan Liu, Zeyao Liu, Zhendong Zhao

Composable Assurance for AI Alignment: A Framework for Propagating Formal Safety Properties Through MLOps

Xiaofei Zhao

CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning

Weixiang Zhao, Haozhen Li, Yanyan Zhao, Haixiao Liu, Biye Li

DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt

Yitong Zhang, Jia Li, Liyi Cai, Ge Li

Differentiated Directional Intervention: A Framework for Evading LLM Safety Alignment

Peng Zhang, Peijie Sun

SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability

Hanwei Zhang, Luo Cheng, Rui Wen, Yang Zhang, Lijun Zhang

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems

Qingyuan Zeng, Shu Jiang, Jiajing Lin, Zhenzhong Wang, Kay Chen Tan

CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense

Zhuochen Yang, Kar Wai Fok, Vrizlynn L. L. Thing

Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models

Yijun Yang, Lichao Wang, Jianping Zhang, Chi Harold Liu, Lanqing Hong

When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF

Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang

MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text

Ronghao Xu, Zhen Huang, Yangbo Wei, Xiaoqian Zhou, Zikang Xu

MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks

Zonglin Wu, Yule Xue, Yaoyao Feng, Xiaolong Wang, Yiren Song

HumorReject: Decoupling LLM Safety from Refusal Prefix via a Little Humor

Zihui Wu, Haichang Gao, Jiacheng Luo, Zhaoxiang Liu

Designing Incident Reporting Systems for Harms from General-Purpose AI

Kevin Wei, Lennart Heim

Safe Multi-agent Reinforcement Learning with Natural Language Constraints

Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing

Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Yanqing Liu

Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding

Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu

Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems

Xiaoqing Wang, Keman Huang, Bin Liang, Hongyu Li, Xiaoyong Du

Persistent Instability in LLM’s Personality Measurements: Effects of Scale, Reasoning, and Conversation History

Tommaso Tosato, Saskia Helbling, Yorguin-Jose Mantilla-Ramos, Mahmood Hegazy, Alberto Tosato

SMPRO: Self-Supervised Visual Preference Alignment via Differentiable Multi-Preference Multi-Group Ranking

Sirnam Swetha, Rui Meng, Shwetha Ram, Tal Neiman, Son Tran

Beyond Verdicts: Evaluating Language Model Moral Competence

Aaron J Snoswell, Daniel Kilov, Seth Lazar

Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training

Jianfeng Si, Lin Sun, Zhewen Tan, Xiangzheng Zhang

EASE: Practical and Efficient Safety Alignment for Small Language Models

Haonan Shi, Guoli Wang, Tu Ouyang, An Wang

Tight Robustness Certification Through the Convex Hull of ℓ₀ Attacks

Yuval Shapira, Dana Drachsler-Cohen

Detecting Compute Structuring in AI Governance Is Likely Feasible

Emmanouil Seferis, Timothy Fist

Polarity-Aware Probing for Quantifying Latent Alignment in Language Models

Sabrina Sadiekh, Elena Ericheva, Chirag Agarwal

Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation

Hoe Sung Ryu, Christian Wallraven

Confirmation Bias: A Challenge for Scalable Oversight

Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon, Mridul Sharma, Callum Canavan

FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research

Gabriel Recchia, Chatrik Singh Mangat, Issac Li, Gayatri Krishnakumar

Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models

Md Rafi Ur Rashid, Vishnu Asutosh Dasu, Ye Wang, Gang Tan, Shagufta Mehnaz