AAAI

Using Certifying Constraint Solvers for Generating Step-wise Explanations

Ignace Bleukx, Maarten Flippo, Bart Bogaerts, Emir Demirović, Tias Guns

Comments Accepted for publication at AAAI 2026

Explaining Decentralized Multi-Agent Reinforcement Learning Policies

Kayla Boggess, Sarit Kraus, Lu Feng

Comments Accepted for oral presentation at AAAI-26

TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs

Shuyi Liu, Yuming Shang, Xi Zhang

机构 * Shuyi Liu, Yuming Shang, Xi Zhang（作者） 纠错

Comments 12 pages, 3 figures, accepted at AAAI 2026

Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment

Wenti Yin, Huaxin Zhang, Xiang Wang, Yuqing Lu, Yicheng Zhang, Bingquan Gong, Jialong Zuo, Li Yu, Changxin Gao, Nong Sang

Comments Accepted to AAAI 2026. Code is available at https://github.com/lessiYin/DSANet

TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities

Yan Zhuang, Minhao Liu, Yanru Zhang, Jiawen Deng, Fuji Ren

Comments Accepted by AAAI 2026

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

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

Comments Accepted to AAAI 2026

Beyond Verification: Abductive Explanations for Post-AI Assessment of Privacy Leakage

Belona Sonna, Alban Grastien, Claire Benn

Comments Accepted at the Workshop on Post-AI Formal Methods at AAAI-26

FactGuard: Event-Centric and Commonsense-Guided Fake News Detection

Jing He, Han Zhang, Yuanhui Xiao, Wei Guo, Shaowen Yao, Renyang Liu

Comments Accepted by AAAI 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention

Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang

Comments accepted for publication in the Association for the Advancement of Artificial Intelligence (AAAI), 2026

EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization

Yuancheng Sun, Yuxuan Ren, Zhaoming Chen, Xu Han, Kang Liu, Qiwei Ye

Comments Accepted as AAAI 2026 Poster

Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space

Zhicheng Cai, Hao Zhu, Linsen Chen, Qiu Shen, Xun Cao

Comments AAAI 2026

Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation

Mayank Vatsa, Aparna Bharati, Richa Singh

Comments Accepted in AAAI 2026

Explicit Temporal-Semantic Modeling for Dense Video Captioning via Context-Aware Cross-Modal Interaction

Mingda Jia, Weiliang Meng, Zenghuang Fu, Yiheng Li, Qi Zeng, Yifan Zhang, Ju Xin, Rongtao Xu, Jiguang Zhang, Xiaopeng Zhang

Comments Accepted to AAAI 2026

RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation

Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang

Comments Accepted by AAAI 2026 Conference

SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition

Qilang Ye, Yu Zhou, Lian He, Jie Zhang, Xuanming Guo, Jiayu Zhang, Mingkui Tan, Weicheng Xie, Yue Sun, Tao Tan, Xiaochen Yuan, Ghada Khoriba, Zitong Yu

Comments Accepted by AAAI 2026 Main Track

Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts

Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa

Comments Accepted at AAAI 2026

Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification

Muzhou Yang, Wuzhou Quan, Mingqiang Wei

Comments Accepted to AAAI 2026

When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?

Qilang Ye, Wei Zeng, Meng Liu, Jie Zhang, Yupeng Hu, Zitong Yu, Yu Zhou

Comments Accepted by AAAI 2026

Moral Change or Noise? On Problems of Aligning AI With Temporally Unstable Human Feedback

Vijay Keswani, Cyrus Cousins, Breanna Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong

机构 * Duke University（杜克大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments To appear in the AAAI 2026 Alignment Track

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels

Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman

Comments AAAI-26

MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems

Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang, Pan He, Xiaoyong Yuan

Comments Accepted at AAAI 2026 Conference

Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation

Bo Li, Zhenghua Xu, Rui Xie

Comments AAAI'26, Oral Paper

Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG

Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye

Comments AAAI'26, Oral Paper

Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models

Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Taiga Yamane, Naoki Makishima, Naotaka Kawata, Mana Ihori, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura

Comments Accepted by AAAI 2026

MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data

Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard

Comments Accepted for publication at AAAI 2026

REAP: Enhancing RAG with Recursive Evaluation and Adaptive Planning for Multi-Hop Question Answering

Yijie Zhu, Haojie Zhou, Wanting Hong, Tailin Liu, Ning Wang

Comments To be published in AAAI 2026

Autonomous Concept Drift Threshold Determination

Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang

Comments Accepted By AAAI 2026

Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification

Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang

Comments Accepted by AAAI 2026

Compensating Distribution Drifts in Class-incremental Learning of Pre-trained Vision Transformers

Xuan Rao, Simian Xu, Zheng Li, Bo Zhao, Derong Liu, Mingming Ha, Cesare Alippi

Comments The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026)

Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection

Jiazhen Chen, Xiuqin Liang, Sichao Fu, Zheng Ma, Weihua Ou

Comments Accepted by 40th AAAI Conference on Artificial Intelligence (AAAI 2026)