AAAI

How Hard is it to Explain Preferences Using Few Boolean Attributes?

Clemens Anzinger, Jiehua Chen, Christian Hatschka, Manuel Sorge, Alexander Temper

Comments Accepted at AAAI 2026

AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research

Alexandru-Mihai Apostu, Andrei Preda, Alexandra Daniela Damir, Diana Bolocan, Radu Tudor Ionescu, Ioana Croitoru, Mihaela Gaman

Comments Accepted at AAAI 2026 (oral)

RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection

Shufan Yang, Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Yuchen Fu, Qing Gu

Comments AAAI 2026

Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment

Jea Kwon, Luiz Felipe Vecchietti, Sungwon Park, Meeyoung Cha

Comments Accepted to AAAI 2026

TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing

Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim

机构 * Korea University（韩国大学） 纠错

Comments AAAI 2026 (Main Technical Track)

Force-Aware 3D Contact Modeling for Stable Grasp Generation

Zhuo Chen, Zhongqun Zhang, Yihua Cheng, Ales Leonardis, Hyung Jin Chang

Comments AAAI'26 Camera Ready. Project page at https://chzh9311.github.io/force-aware-grasp-project/

Uncovering and Mitigating Transient Blindness in Multimodal Model Editing

Xiaoqi Han, Ru Li, Ran Yi, Hongye Tan, Zhuomin Liang, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Comments Accepted at AAAI'26

Private Frequency Estimation Via Residue Number Systems

Héber H. Arcolezi

机构 * Héber H. Arcolezi（独立研究者） 纠错

Comments AAAI 2026

A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication

Angelo Rodio, Giovanni Neglia, Zheng Chen, Erik G. Larsson

Comments Accepted as a conference paper at AAAI 2026 (oral presentation). This is the extended version including the appendix

Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation

Dongyoon Hahm, Taywon Min, Woogyeol Jin, Kimin Lee

Comments Accepted at AAAI 2026 AI Alignment Track, Source code: https://github.com/HahmDY/agentic-ft-safety

Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection

Yihua Wang, Qi Jia, Cong Xu, Feiyu Chen, Yuhan Liu, Haotian Zhang, Liang Jin, Lu Liu, Zhichun Wang

机构 * IEIT SYSTEMS Co., Ltd.（IEIT SYSTEMS公司） 纠错

Comments Accepted at AAAI 2026 Conference

LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit

Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang

Comments Accepted by AAAI 2026

Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning

Masataro Asai

机构 * Masataro Asai 纠错

Comments Accepted in AAAI-26

Argumentative Debates for Transparent Bias Detection [Technical Report]

Hamed Ayoobi, Nico Potyka, Anna Rapberger, Francesca Toni

Comments Accepted at AAAI 2026 main track

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples

Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi

Comments Accepted to AAAI-26 (Oral). Project website: https://grim-tog.github.io

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes

Mogens Henrik From, Jacob Nielsen, Lukas Galke Poech, Peter Schneider-Kamp

Comments Accepted as a paper at AAAI 2026 Main Track

An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling

Lixiu Wu, Yuanrong Tang, Qisen Pan, Xianyang Zhan, Yucheng Han, Lanxi Xiao, Tianhong Wang, Chen Zhong, Jiangtao Gong

Comments Accepted to AAAI 2026

Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection

Soyul Lee, Seungmin Baek, Dongbo Min

Comments AAAI 2026 accepted

Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework

Diego Ortego, Marlon Rodríguez, Mario Almagro, Kunal Dahiya, David Jiménez, Juan C. SanMiguel

Comments To appear at AAAI 2026

Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition

Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen

Comments AAAI 2026

Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction

Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan

Comments 11 pages, 5 figures, accepted by AAAI 2026 (Oral)

PlugTrack: Multi-Perceptive Motion Analysis for Adaptive Fusion in Multi-Object Tracking

Seungjae Kim, SeungJoon Lee, MyeongAh Cho

机构 * Seungjae Kim, SeungJoon Lee, MyeongAh Cho（作者） 纠错

Comments AAAI 2026. Code: https://github.com/VisualScienceLab-KHU/PlugTrack

Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting

Yunhun Nam, Jaehyung Kim, Jongheon Jeong

Comments 17 pages; AAAI 2026; Code is available at https://github.com/yunpal/LfU

DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks

Jiaqiang Jiang, Wenfeng Xu, Jing Fan, Rui Yan

Comments accepted by AAAI-26,The 40th Annual AAAI Conference on Artificial Intelligence

One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow

Zeyuan Wang, Da Li, Yulin Chen, Ye Shi, Liang Bai, Tianyuan Yu, Yanwei Fu

Comments Accepted in AAAI 2026 Poster

PragWorld: A Benchmark Evaluating LLMs' Local World Model under Minimal Linguistic Alterations and Conversational Dynamics

Sachin Vashistha, Aryan Bibhuti, Atharva Naik, Martin Tutek, Somak Aditya

Comments 23 pages, 15 tables, 10 figures; AAAI 2026 Conference Main Track (oral)

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs

Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park

Comments Accepted in AAAI 2026 for Oral Representation. This is the extended version including the appendix

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

Yiyang Zhao, Huiyu Bai, Xuejiao Zhao

Comments This paper has been accepted by AAAI 2026-AIA and designated as an oral presentation paper

SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias

Wenqian Ye, Di Wang, Guangtao Zheng, Bohan Liu, Aidong Zhang

Comments Accepted at AAAI 2026

Infinite-Story: A Training-Free Consistent Text-to-Image Generation

Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im

Comments 18pages, 13 figures, AAAI 2026 Oral