AAAI

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

Rishu Kumar Singh, Navneet Shreya, Sarmistha Das, Apoorva Singh, Sriparna Saha

Comments To be published in the Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Special Track on AI for Social Impact )

AutoTool: Efficient Tool Selection for Large Language Model Agents

Jingyi Jia, Qinbin Li

机构 * Jingyi Jia, Qinbin Li 纠错

Comments Accepted by AAAI 2026, 18 pages, 11 figures, Code: https://github.com/jiajingyyyyyy/AutoTool

SparseSurf: Sparse-View 3D Gaussian Splatting for Surface Reconstruction

Meiying Gu, Jiawei Zhang, Jiahe Li, Xiaohan Yu, Haonan Luo, Jin Zheng, Xiao Bai

Comments Accepted at AAAI 2026. Project page: https://miya-oi.github.io/SparseSurf-project

Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models

Xinzhe Zheng, Shiyu Jiang, Gustavo Seabra, Chenglong Li, Yanjun Li

Comments Accepted by AAAI 2026

Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details

Qiang Bai, Bojian Wu, Xi Yang, Zhizhong Han

Comments Accepted as an Poster paper at the AAAI Conference on Artificial Intelligence (AAAI-26)

Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection

Xiaolin Wang, Houzhang Fang, Qingshan Li, Lu Wang, Yi Chang, Luxin Yan

Comments Accepted by AAAI 2026

Geometry Meets Light: Leveraging Geometric Priors for Universal Photometric Stereo under Limited Multi-Illumination Cues

King-Man Tam, Satoshi Ikehata, Yuta Asano, Zhaoyi An, Rei Kawakami

Comments Accepted by AAAI 2026 (Oral)

Fine-Grained Representation for Lane Topology Reasoning

Guoqing Xu, Yiheng Li, Yang Yang

Comments Accepted by AAAI 2026

MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization

Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang

Comments Accepted by AAAI 2026

IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection

Kaveh Eskandari Miandoab, Katharine Kowalyshyn, Kabir Pamnani, Anesu Gavhera, Vasanth Sarathy, Matthias Scheutz

Comments Accepted for the 40th Annual AAAI Conference on Artificial Intelligence (2026) - Demonstration Track

Playmate2: Training-Free Multi-Character Audio-Driven Animation via Diffusion Transformer with Reward Feedback

Xingpei Ma, Shenneng Huang, Jiaran Cai, Yuansheng Guan, Shen Zheng, Hanfeng Zhao, Qiang Zhang, Shunsi Zhang

机构 * Project lead & Corresponding Author（项目负责人及通讯作者） 纠错

Comments AAAI 2026

Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden

Ainhize Barrainkua, Giovanni De Toni, Jose Antonio Lozano, Novi Quadrianto

Comments Accepted at AAAI 2026

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm

Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu

Comments AAAI 2026 Oral. 14 pages (including appendix), 11 figures. Code, data, results, and additional resources are available at: https://model-editing.github.io

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration

Hao Lu, Yanchi Gu, Haoyuan Huang, Yulin Zhou, Ningxin Zhu, Chen Li

Comments 48 pages, 3 figures. Accepted in AAAI-2026 (Main Technical Track). For code and model, see this https://github.com/JianChengXingYun/Mctsr-Zero

Towards Authentic Movie Dubbing with Retrieve-Augmented Director-Actor Interaction Learning

Rui Liu, Yuan Zhao, Zhenqi Jia

机构 * Rui Liu \equalcontrib , Yuan Zhao \equalcontrib , Zhenqi Jia（Rui Liu、Yuan Zhao、Zhenqi Jia） 纠错

Comments Accepted by AAAI 2026

Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization

Yan Huang, Yongyi Su, Xin Lin, Le Zhang, Xun Xu

Comments Accepted by AAAI 2026

Listen Like a Teacher: Mitigating Whisper Hallucinations using Adaptive Layer Attention and Knowledge Distillation

Kumud Tripathi, Aditya Srinivas Menon, Aman Gaurav, Raj Prakash Gohil, Pankaj Wasnik

Comments Accepted at AAAI 2026 - Main Technical Track

MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals

Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng

Comments AAAI 2026, 16 pages

Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation

Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong

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

BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-tailed Recognition

Weijia Fan, Qiufu Li, Jiajun Wen, Xiaoyang Peng

Comments [AAAI-2026] code: https://github.com/wakinghours-github/BCE3S

Certified but Fooled! Breaking Certified Defences with Ghost Certificates

Quoc Viet Vo, Tashreque M. Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe

Comments Published as a conference paper at the Fortieth AAAI Conference on Artificial Intelligence (AAAI-26). Code available at: https://github.com/ghostcert/ghostcert

How to Marginalize in Causal Structure Learning?

William Zhao, Guy Van den Broeck, Benjie Wang

Comments 7 pages. Accepted for presentation at the GCLR 2026 Workshop (colocated with AAAI 2026)

Data Whitening Improves Sparse Autoencoder Learning

Ashwin Saraswatula, David Klindt

Comments Accepted to the AAAI 2026 XAI4Science Workshop

Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding

Qingyang Yan, Guangyao Chen, Yixiong Zou

Comments AAAI 2026 (Oral)

Just Few States are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems

Zaid Hadach, Hajar El Hammouti, El Houcine Bergou, Adnane Saoud

Comments To appear in the proceedings of AAAI 2026

CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data

Yue Ling, Peiqi Zhang, Zhenyi Zhang, Peijie Zhou

Comments Published as a conference paper at AAAI 2026 (oral)

Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection

Yogesh Kumar, Anand Mishra

Comments Accepted at AAAI 2026 Main Track

Credal Ensemble Distillation for Uncertainty Quantification

Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez

Comments An extended version for Credal Ensemble Distillation for Uncertainty Quantification, which has been accepted for publication at AAAI 2026

Gene Incremental Learning for Single-Cell Transcriptomics

Jiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang Xie

机构 * AAAI 2026 纠错

Comments Accepted by AAAI 2026

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm

Xiao Fan, Jingyan Jiang, Zhaoru Chen, Fanding Huang, Xiao Chen, Qinting Jiang, Bowen Zhang, Xing Tang, Zhi Wang

机构 * Tsinghua University（清华大学） 纠错

Comments Accepted by AAAI 2026 Main Technical Track