AAAI

Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint

Juncheng Wang, Bingjie Yan, Yituo Liu

Comments To appear in AAAI 2025

CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation

Han He, Qianchu Liu, Lei Xu, Chaitanya Shivade, Yi Zhang, Sundararajan Srinivasan, Katrin Kirchhoff

Comments Accepted to AAAI-2025

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA

Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao

Comments Accepted by AAAI-25

ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection

Delyan Boychev, Radostin Cholakov

Comments Workshop on Datasets and Evaluators of AI Safety, AAAI 2025

Can Go AIs be adversarially robust?

Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang, Adam Gleave

Comments 63 pages, AAAI 2025

Evaluating Mathematical Reasoning Beyond Accuracy

Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu

Comments v2 is the AAAI 2025 camera ready version. Project site with code: https://github.com/GAIR-NLP/ReasonEval

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu

Journal ref Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024, 38(11), 11927-11935

Improving DeFi Accessibility through Efficient Liquidity Provisioning with Deep Reinforcement Learning

Haonan Xu, Alessio Brini

Comments 9 pages, 5 figures. Accepted at AI for Social Impact: Bridging Innovations in Finance, Social Media, and Crime Prevention Workshop at AAAI 2025

The Essentials of AI for Life and Society: An AI Literacy Course for the University Community

Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu

Comments Accepted to EAAI-25: The 15th Symposium on Educational Advances in Artificial Intelligence, collocated with AAAI-25

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data

Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao

Comments Accepted by AAAI 2025 (this version includes supplementary material)

Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring

Buse Sibel Korkmaz, Rahul Nair, Elizabeth M. Daly, Evangelos Anagnostopoulos, Christos Varytimidis, Antonio del Rio Chanona

Comments Accepted to AAAI 2025, AI Governance Workshop

Skip Mamba Diffusion for Monocular 3D Semantic Scene Completion

Li Liang, Naveed Akhtar, Jordan Vice, Xiangrui Kong, Ajmal Saeed Mian

Comments Accepted by AAAI 2025

Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data

Ferdinand Rewicki, Joachim Denzler, Julia Niebling

Comments Acccepted at AAAI Workshop on AI for Time Series Analysis (AI4TS) 2025

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

Tze Ho Elden Tse, Runyang Feng, Linfang Zheng, Jiho Park, Yixing Gao, Jihie Kim, Ales Leonardis, Hyung Jin Chang

Comments Accepted to AAAI 2025

KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation

Yulong Li, Bolin Ren, Ke Hu, Changyuan Liu, Zhengyong Jiang, Kang Dang, Jionglong Su

Comments AAAI 2025

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model

Zhuoyuan Li, Yubo Ai, Jiahao Lu, ChuXin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang

Comments Accepted by AAAI 2025

Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning

Daniel Schug, Tyler J. Kovach, M. A. Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, J. Corrigan, M. A. Eriksson, Justyna P. Zwolak

Comments 20 pages, 5 figures, abbreviated version published in Proceedings of the XAI4Sci: Explainable machine learning for sciences workshop at AAAI 2024, (Vancouver, Canada)

Journal ref Mach. Learn.: Sci. Technol. 6, 015006 (2025)

Controlling Equational Reasoning in Large Language Models with Prompt Interventions

Jordan Meadows, Marco Valentino, Andre Freitas

Comments AAAI 2025 (7 pages)

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression

Botao Zhao, Xiaoyang Qu, Zuheng Kang, Junqing Peng, Jing Xiao, Jianzong Wang

Comments Accept by AAAI-2025 (The 39th Annual AAAI Conference on Artificial Intelligence)

VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning

Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim

Comments AAAI 2025

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights

Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini

Comments Accepted at AAAI-25

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing

Ho Yin, Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao 'Kenneth' Huang

Comments This paper will appear at AAAI 2025 Workshop (2nd AI4Research Workshop: Towards a Knowledge-grounded Scientific Research Lifecycle)

Speedup Techniques for Switchable Temporal Plan Graph Optimization

He Jiang, Muhan Lin, Jiaoyang Li

Comments Accepted by AAAI 2025. This version contains the appendix

PromptDet: A Lightweight 3D Object Detection Framework with LiDAR Prompts

Kun Guo, Qiang Ling

Comments Accepted by AAAI 2025

iMoT: Inertial Motion Transformer for Inertial Navigation

Son Minh Nguyen, Linh Duy Tran, Duc Viet Le, Paul J. M Havinga

Comments Accepted as technical research paper in 39th AAAI Conference on Artificial Intelligence, 2025 (AAAI 2025)

USV-AUV Collaboration Framework for Underwater Tasks under Extreme Sea Conditions

Jingzehua Xu, Guanwen Xie, Xinqi Wang, Yimian Ding, Shuai Zhang

Journal ref IEEE ICASSP 2025, AAAI (Student) 2025

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding

Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu

Comments This paper has been accepted at AAAI 2025

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets

Ahmed Frikha, Nassim Walha, Ricardo Mendes, Krishna Kanth Nakka, Xue Jiang, Xuebing Zhou

Comments Accepted at AAAI 2025 (PPAI Workshop)

FaceMe: Robust Blind Face Restoration with Personal Identification

Siyu Liu, Zheng-Peng Duan, Jia OuYang, Jiayi Fu, Hyunhee Park, Zikun Liu, Chun-Le Guo, Chongyi Li

Comments To appear at AAAI 2025

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety

Paul Röttger, Fabio Pernisi, Bertie Vidgen, Dirk Hovy

Comments Accepted at AAAI 2025 (Special Track on AI Alignment)