AAAI 2026

4,920 papers

GSAG-CDGAN: A Generalizable Small-Sample Attention-Guided GAN for Remote Sensing Change Detection (Student Abstract)

Ruteng Yu, Lukun Wang, Jiaming Pei

Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract)

Emily Yu

C2R-KD: Complex to Real Knowledge Distillation (Student Abstract)

Byunghyuk Youn, Ohyun Jo

Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract)

Brandon Yee, Wilson Collins, Caden Wang, Mihir Tekal

Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract)

Cai Yang, Kokil Jaidka, Subhayan Mukerjee, Yphtach Lelkes

Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract)

Yang Yan, Matthew W. Chen, Jiayi Lyu, Chen Zhao, Hao Gao

iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract)

Xiang Xue, Yatu Ji, Qing-Dao-Er-Ji Ren, Bao Shi, Min Lu

Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract)

Le Xu, Jiayu Chen

Do Large Language Models (LLMs) Understand Chronology? (Student Abstract)

Pattaraphon Kenny Wongchamcharoen, Paul Glasserman

Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract)

Zuoyuehe Wang, Chicheng Ma, Pengpeng Chen, Lei Chai, Yongqiang Yang

APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract)

Yian Wang, Ye Qiao, Sitao Huang, Hyoukjun Kwon

ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)

Li-Chiao Wang, Chung-Shou Liao, Wei Liu

Assessing the Risk of Falls in Older Adults Living in the Community Using Machine Learning Models with Imputation (Student Abstract)

Atul Teja Vellampalli, Yugan Kumar, Kai Zhe Tan, Kok Yang Tan, Vanessa Koh

Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract)

Suchetan G. Uppur, Ashish Kumar, Akshay Agarwal

Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract)

Bertille Tierny, Arthur Charpentier, Francois Hu

LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract)

Gokaramaiah Thota, Nagaraju K, Sathya Babu Korra

CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract)

Shota Takayama, Katsuhide Fujita

Domain-Specific Retrieval for Retrieval-Augmented Generation: A Case Study on Pertussis Research (Student Abstract)

Hiroki Takabatake, Niken Prasasti Martono, Asaomi Kuwae, Toshihiko Iuchi, Hayato Ohwada

Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract)

Gargi Surendra Yeole, Poulomi Bhattacharya, Akshay Agarwal

Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract)

Egor Suraveikin, Dastan Omirzak, Roman Sultimov, Yury Maximov

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)

Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)

Pirzada Suhail, Rehna Afroz Shaik, Gouranga Bala, Amit Sethi

Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract)

Pirzada Suhail, Vrinda Goel, Amit Sethi

MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract)

Minkyung Song, Soyoung Park, Sungsu Lim

When Equal Isn’t Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)

Ravada Satyadev, Aditya Ganesh Kumar, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang

Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract)

Kaede Saito, Ryota Higa, Hiromu Imura, Masaaki Kondo

Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract)

Rohan Saha, Tushar Shinde

CRIME: Community Rewiring for Influence and Masking Entities in Social Networks (Student Abstract)

Nilanjana Saha, Animesh Dutta

SciDataMAS: LLM-Driven MAS for Scientific Data Management (Student Abstract)

Alexander Sachuk, Vyacheslav Chukanov, Ekaterina Pchitskaya

A Lightweight Safety Helmet Compliance Detection via Multimodal Fusion (Student Abstract)

Jeong Hwan Ryu, Azimjon Akhtamov, Md Azher Uddin, Aziz Nasridinov

Distractor-Based Jailbreaking Attacks in Language Models and Associated Changes in Chain-of-Thought Content (Student Abstract)

Tate Rowney, Xuning Ying

Latent Representations of Land–Sea Boundaries and Extreme Temperature in Aurora’s Encoder (Student Abstract)

Benjamin Richards, Pushpa Kumar Balan

Semantic Embedding and Synthetic Augmentation for Longitudinal Survey Prediction (Student Abstract)

Julia Rezvani, Alina Hyk, Thuyen Pham, Leonardo Marciaga, Chunyang Liao

PEFT-DML: Parameter-Efficient Fine-Tuning Deep Metric Learning for Robust Multi-Modal 3D Object Detection in Autonomous Driving (Student Abstract)

Abdolazim Rezaei, Mehdi Sookhak

Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs (Student Abstract)

Ye Qiao, Sitao Huang

Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)

Suraj Prasad, Navyansh Mahla, Sunny Gupta, Amit Sethi

Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract)

Ha-Hieu Pham, Minh Le, Han Huynh, Nguyen Quoc Khanh Le, Huy-Hieu Pham

An Approach Towards Developing Relationally Intelligent Multimodal Framework for Stock Movement Prediction (Student Abstract)

Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay

Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract)

Iñigo Parra, Mano Bharathi M, Mayank Kumar, Pushpa Kumar Balan, Priyadarsi Mishra

Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract)

Beomdo Park, Hyeonseok Jang, Junseong Park, Minu Baek, Gihun Gil

ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract)

Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan

Ryusei Otani, Keichi Namikoshi, Yuko Sakurai, Mingyu Guo, Satoshi Oyama

Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract)

Narjes Nourzad, Carlee Joe-Wong

iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract)

Ashikur Nobel, Jacob Matos, Honggang Wang, Hua Fang

Cumulant Attention in Vision Transformers (Student Abstract)

Yuto Morimoto, Zhipeng Wang, Koji Yasuda

Social Influence-Based Mutual Acknowledgement Token Exchange (Student Abstract)

Shoma Mizuno, Keichi Namikoshi, Yuko Sakurai

Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)

Nipun Misra, Vikranth Udandarao

Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract)

Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty

New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract)

Niklas M. Melton, Leonardo Enzo Brito da Silva, Donald C. Wunsch

Exposing DeepFakes via Hyperspectral Domain Mapping (Student Abstract)

Aditya Mehta, Swarnim Chaudhary, Pratik Narang, Jagat Sesh Challa

Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract)

Abu Kaisar Mohammad Masum, Sercan Aygun

BRI-MH: Behavioral Risk Index for Mental Health — An Interpretable Multimodal LLM-Augmented Framework (Student Abstract)

Mahi Mann, Avinash Anand, Rajiv Ratn Shah

Guided Latent Spaces for Controllable Multi-Scenario Generation in Autonomous Driving (Student Abstract)

Manasa Mariam Mammen, Zafer Kayatas, Stefan Wagner

NewsLensAI: NER-Guided Summarization for Mitigating Hallucination and Bias in LLM-Based News Summaries (Student Abstract)

Gaurank Maheshwari, Ambika Taploo, Ashiqur R. KhudaBukhsh

Towards Capable and Secure Autonomous Computer-Use Agents (Student Abstract)

Malak Mahdy, Carlos Rubio-Medrano

Knowledge Graph for Efficient Multi-hop Question Generation (Student Abstract)

Al Hasib Mahamud, Yllias Chali

Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract)

Christopher MacDowell, Sarah Setiawan, Carol Jim, Ahmed Salem

BDI-based Opponent Modeling and Strategy Generation for Multi-Issue Negotiation (Student Abstract)

Tianzi Ma, Yulin Wu, Hang Ren, Xiaozhen Sun, Shuhan Qi

A Foundation Model for Brain MRI with Dynamic Modality Integration (Student Abstract)

Minh Sao Khue Luu, Bair N. Tuchinov

VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps (Student Abstract)

Xinyan Liu, Zhuoning Xu

CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract)

Xiaotao Liu, Prashant Mohit, Arvind Easwaran

Efficient Preference Alignment via Pareto Exploration (Student Abstract)

Pengfei Liu, Rui Kong, Zongzhang Zhang

Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract)

Lianghui Liu, Zongzhang Zhang

HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract)

Jizhihui Liu, Guangdao Zhu, Feiyi Du

Obedience or Vigilance? How Large Language Models React to Malicious Multiple-Choice Options (Student Abstract)

Yow-Fu Liou, Yu-Chien Tang, An-Zi Yen

HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract)

Kunrong Li, Zhu Sun, Kwan Hui Lim

HARK: Hierarchical Agentic Retrieval with Keyframing for Video Understanding (Student Abstract)

Jingcheng Li, Ye Qiao, Sitao Huang

Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract)

Yousung Lee, Dongsoo Har

Synthetic-to-Real Transfer Learning for League of Legends Minimap Object Detection (Student Abstract)

Younsung Lee, Yujin Kim, Kyungjoong Kim

Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract)

Tae Hoon Lee, Joongheon Kim

Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract)

Suwoong Lee, Seungjae Lee, Yunho Jeon, Junmo Kim

zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract)

Seung Kwon Lee, Seok Bin Son, Joongheon Kim, Hoh Peter In

Q-MoFusion: A Quantum Classifier for Masquito Species Classification (Student Abstract)

Vishesh Kumar, Ahana Chanda, Poulomi Bhattacharya, Akshay Agarwal

Strategic Tool Enhanced AI Agent for Multi-Issue Negotiation (Student Abstract)

Daiki Kitashima, Ryota Higa, Katsuhide Fujita

Privacy-Preserving Argumentative Explanations (Student Abstract)

Ungsik Kim, Minjae Lee, Jiho Bae, Minje Kim, Sang-Min Choi

Spatially-Guided Self-Attention Refinement for Zero-Shot Hair Segmentation (Student Abstract)

Suin Kim, Jihoon Lee, Moonsung Kang, Doheun Cha, Sangtae Ahn

CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract)

Min Kim, Ohyun Jo

Self-Guided Planning and Repair Framework for Code Generation (Student Abstract)

Chun-Wei Kang, Chung-Chi Chen, An-Zi Yen

Style-First Authorship Verification for Academic Integrity in the Generative AI Era (Student Abstract)

Jun Jang, Thai Le, Bo Wang

Semantic-Guided Sketch-to-RGB Image Generation via Controlled Diffusion for Improved Sketch Recognition (Student Abstract)

Ritika Jain, Atul Kumar, Akshay Agarwal

When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (Student Abstract)

Azka Ikramullah, Abdul Majeed, Kyunghyun Lee, Seong Oun Hwang

Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning (Student Abstract)

Rui Jerry Huang, Anastasia Miin, Wendy Liu

Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract)

Aisha Hassan, Tushar Shinde

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract)

Sunny Gupta, Nikita Jangid, Amit Sethi

A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract)

Arnav Gupta, Albert Liu, Eliza Haines, Riyadh Alghamdi, Aniketh S. Kota

Can Large Language Models Grasp 3D Medical Anatomy Shapes? (Student Abstract)

Yao Gao, Feng Li, Jeroen Van Dessel, Yi Sun, Robin Willaert

Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract)

Jingchao Gao, Ziqing Lu, Raghu Mudumbai, Xiaodong Wu, Jirong Yi

Lithology-Aware Conditional Variational Autoencoder for Synthetic Well Log Generation in Petroleum Reservoirs (Student Abstract)

Aline Cambri Fredere, Gabriel De Oliveira Ramos, Luciano Garim Garcia, Mateus da Rocha Simionato, José Manuel Marques Teixeira de Oliveira

Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract)

Giovanni B. Esposito, Daniele Cesarini, Andrea Bartolini

POLICYGRID: Causal Discovery for Adaptive Policy Optimization in Embodied Agents (Student Abstract)

Taqiya Ehsan, Shuren Xia, Jorge Ortiz

Game-Theoretic Simulations Meet AI: Fast Policy Recommendations Under Data Scarcity (Student Abstract)

Phuong-Anh Duong, Luong-Ngoc-Anh Vu, Binh Nguyen Thi

Modeling Retinal Ganglion Cells with Neural Differential Equations (Student Abstract)

Kacper Dobek, Daniel Jankowski, Krzysztof Krawiec

Graph Neural ODEs with Stability and Conservation Guarantees for Tumor Microenvironment Dynamics (Student Abstract)

Luong Doan, Tien Nguyen, Nhung Duong, Lap Nguyen, Tuan Do

Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract)

Ashim Dhor, Smily Bharadwaj

DDIN: Reinforcement Learning with Asymmetric GNNs for Dismantling Directed Interdependent Networks (Student Abstract)

Soumyajit Dev, Malay Bhattacharyya

How Reasoning Influences Intersectional Biases in Vision–Language Models (Student Abstract)

Adit Desai, Sudipta Roy, Mohna Chakraborty

NoMoColor: Unified Noise Modulation for Enhanced Diffusion-based Image Colorization (Student Abstract)

Ankan Deria, Dwarikanath Mahapatra, Murari Mondal, Sudipta Roy

Language Models Do Not Embed Numbers Continuously (Student Abstract)

Alex Davies, Roussel Nzoyem Ngueguin, Nirav Ajmeri, Telmo de Menezes E Silva Filho

How Good Are Inducing Points for Dataset Distillation? (Student Abstract)

Shrutimoy Das

TWiST: Temporal Weakly-Supervised Triplets Recognition in Surgical Videos (Student Abstract)

Pranshu Danani, Yash Bansal, Parshiv Kapoor