AAAI

Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users

Bo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen, Shih-Yu Tsai, Jie Gao, Hao-Tsung Yang

Comments 13 pages,4 figures, 3 tables

Journal ref Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8, no. 2 (October 15, 2025): 1598-1610

Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR

Riley Grossman, Michael Smith, Cristian Borcea, Yi Chen

Comments Accepted to International AAAI Conference on Web and Social Media 2026 (ICWSM'26)

Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude

Wentao Xu, Yile Yan, Yuqi Zhu

Comments This paper has been accepted by The 20th International AAAI Conference on Web and Social Media (ICWSM 2026), sunny Los Angeles, California

No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture

Hamza Belgroun, Franck Michel, Fabien Gandon

Journal ref Eighth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025), AAAI/ACM, Oct 2025, Madrid, Spain

Cross-Platform Short-Video Diplomacy: Topic and Sentiment Analysis of China-US Relations on Douyin and TikTok

Zheng Wei, Mingchen Li, Junxiang Liao, Zeyu Yang, Xiaoyu Yang, Yixuan Xie, Pan Hui, Huamin Qu

Comments Accepted for publication at The International AAAI Conference on Web and Social Media (ICWSM 2026)

Beyond QA Pairs: Assessing Parameter-Efficient Fine-Tuning for Fact Embedding in LLMs

Shivam Ratnakar, Abhiroop Talasila, Raghav Chamadiya, Nikhil Agarwal, Vinayak K Doifode

Comments Presented at the Workshop on Preparing Good Data for Generative AI: Challenges and Approaches (Good-Data) in conjunction with AAAI 2025. The authors retain the copyright

Journal ref Workshop on Preparing Good Data for Generative AI: Challenges and Approaches, 2025

Co-Producing AI: Toward an Augmented, Participatory Lifecycle

Rashid Mushkani, Hugo Berard, Toumadher Ammar, Cassandre Chatonnier, Shin Koseki

Comments Eighth AAAI/ACM Conference on AI, Ethics, and Society 2025

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning

Emile Anand, Ishani Karmarkar, Guannan Qu

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Stanford University（斯坦福大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments 53 pages. AAAI 2025 MARW Best Paper Award. Accepted at NeurIPS 2025 (spotlight)

IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks

Insu Jeon, Wonkwang Lee, Myeongjang Pyeon, Gunhee Kim

Comments Published in the Proceedings of the Thirty Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), paper number 7926

LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration

Sangmin Lee, Woo-Jin Chung, Hong-Goo Kang

Comments Accepted to AAAI 2025 (Oral Presentation)

View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection

Qi Zhang, Zhouhang Luo, Tao Yu, Hui Huang

机构 * College of Computer Science and Software Engineering（计算机科学与软件工程学院） ； Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen)（广东人工智能与数字经济实验室（深圳）） 纠错

Comments AAAI 25

Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models

Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence. 39, 22 (Apr. 2025), 23696-23703

Enhancing Adversarial Transferability with Adversarial Weight Tuning

Jiahao Chen, Zhou Feng, Rui Zeng, Yuwen Pu, Chunyi Zhou, Yi Jiang, Yuyou Gan, Jinbao Li, Shouling Ji

Comments Accepted by AAAI 2025. Code available at https://github.com/xaddwell/AWT

Reinforcement Learning with Stochastic Reward Machines

Jan Corazza, Ivan Gavran, Daniel Neider

机构 * University of Zagreb（Zagreb大学） ； Max Planck Institute for Software Systems（软件系统马克斯·普朗克研究所） 纠错

Comments A shorter version of this paper appeared in the Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22). Source code available at https://github.com/corazza/srm

Journal ref Corazza, J., Gavran, I., & Neider, D. (2022). Reinforcement Learning with Stochastic Reward Machines. Proceedings of the AAAI Conference on Artificial Intelligence, 36(6), 6429-6436

Towards Inference-time Scaling for Continuous Space Reasoning

Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari

Comments Submitted to AAAI 2026 on July 25, 2025. Under review

Privacy-Preserving Dataset Combination

Keren Fuentes, Mimee Xu, Irene Chen

机构 * New York University（纽约大学） ； University of California, Berkeley（加州大学伯克利分校） ； University of California, San Francisco（加州大学旧金山分校） 纠错

Comments 15 pages, 9 figures, AAAI-AIES 25'

AudioGenX: Explainability on Text-to-Audio Generative Models

Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park

Comments 14 pages

Journal ref Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence 2025

Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias through a Systematic Review

Sara Altamirano, Arjan Vreeken, Sennay Ghebreab

机构 * AAAI/ACM Conference on AI, Ethics, and Society（AAAI/ACM 人工智能、伦理与社会会议） 纠错

Comments Extended version of the paper accepted at the AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025), including an appendix. 10 pages, 2 figures

PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Research

Nick Oh, Giorgos D. Vrakas, Siân J. M. Brooke, Sasha Morinière, Toju Duke

Comments Extended version of paper to appear in the 8th AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025)

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design

Junhua Liu, Fanfan Lin, Xinze Li, Kwan Hui Lim, Shuai Zhao

Comments Accepted to AAAI 2026 Innovative Applications of AI

Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication

Sami Khairy, Gabriel Mittag, Vishak Gopal, Ross Cutler

Comments Accepted for publication in the proceedings of the AAAI Conference on Artificial Intelligence 2026 (IAAI Technical Track on Deployed Highly Innovative Applications of AI)

CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing

Chathurangi Shyalika, Aryaman Sharma, Fadi El Kalach, Utkarshani Jaimini, Cory Henson, Ramy Harik, Amit Sheth

机构 * University of South Carolina（南卡罗来纳大学） 纠错

Comments 8 pages, 4 figures, 3 tables, Accepted at AAAI 2026: IAAI - Innovative Applications of AI Conference

Dimension Reduction with Locally Adjusted Graphs

Yingfan Wang, Yiyang Sun, Haiyang Huang, Cynthia Rudin

Comments Accepted by AAAI 2025

Extracting Affect Aggregates from Longitudinal Social Media Data with Temporal Adapters for Large Language Models

Georg Ahnert, Max Pellert, David Garcia, Markus Strohmaier

Journal ref Proceedings of the Nineteenth International AAAI Conference on Web and Social Media (2025)

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Yuguang Liu, Yiyun Miao, Luyao Xia

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39, No. 12, pp. 12238-12245 (2025)

DeHate: A Stable Diffusion-based Multimodal Approach to Mitigate Hate Speech in Images

Dwip Dalal, Gautam Vashishtha, Anku Rani, Aishwarya Reganti, Parth Patwa, Mohd Sarique, Chandan Gupta, Keshav Nath, Viswanatha Reddy, Vinija Jain, Aman Chadha, Amitava Das, Amit Sheth, Asif Ekbal

机构 * MIT Media Lab, USA（麻省理工学院媒体实验室） ； Stanford University, USA（斯坦福大学） ； Amazon GenAI, USA（亚马逊生成人工智能） ； University of South Carolina, USA（南卡罗来纳大学） 纠错

Comments Defactify 3 workshop at AAAI 2024

MAMS: Model-Agnostic Module Selection Framework for Video Captioning

Sangho Lee, Il Yong Chun, Hogun Park

机构 * Sangho Lee 1,2（Sangho Lee 教授） ； Il Yong Chun 1,3（Il Yong Chun 教授） ； Hogun Park 1（Hogun Park 教授） 纠错

Comments Accepted to the AAAI 2025 Main Technical Track. This is an extended version of the original submission

CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion

Yolo Yunlong Tang, Gen Zhan, Li Yang, Yiting Liao, Chenliang Xu

机构 * ByteDance（字节跳动） 纠错

Comments Accepted to AAAI 2025

V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning

Hang Hua, Yolo Yunlong Tang, Chenliang Xu, Jiebo Luo

Comments Accepted to AAAI 2025

Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding

Yolo Yunlong Tang, Daiki Shimada, Jing Bi, Mingqian Feng, Hang Hua, Chenliang Xu

Comments Accepted to AAAI 2025