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National Conference of the American Association for Artificial Intelligence

AAAI

A*

CORE rank

CORE rank (raw)

A*

Acceptance rate

23.8% (2024 main track)

Fields of research

Artificial Intelligence · Computer Vision and Multimedia Computation · Machine Learning

Papers indexed

31,171

1980–2026

Papers per year

19804,920 peak2026

AAAI papers

31,171 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2026Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds.Andre Opris
2026Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning.Mohammad Mahdi Omati, Yasin Salajeghe, Mahshad Moradi, Arash Amini
2026LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models.Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Tri Nguyen, Vasudev Lal, Joseph Campbell, Simon Stepputtis, Shao-Yen Tseng
2026Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning.Pierriccardo Olivieri, Fausto Lasca, Alessandro Gianola, Matteo Papini
2026Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research.Ninell Oldenburg, Ruchira Dhar, Anders Sgaard
2026FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification.YongKyung Oh, Dong-Young Lim, Sungil Kim
2026Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning.Jungsuk Oh, Jay-Yoon Lee
2026Virtual Multiplex Staining for Histological Images Using a Marker-Wise Conditioned Diffusion Model.Hyun-Jic Oh, Junsik Kim, Zhiyi Shi, Yichen Wu, Yu-An Chen, Peter K. Sorger, Hanspeter Pfister, Won-Ki Jeong
2026Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data.Youngmin Oh, Hyung-Il Kim, Jung Uk Kim
2026Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs.Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang
2026Makespan Investigations of Sequential, Parallel, PO, and POCL Plans.Harrison Oates, Pascal Bercher
2026Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping.Joan Nwatu, Longju Bai, Oana Ignat, Rada Mihalcea
2026Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract).Narjes Nourzad, Carlee Joe-Wong
2026VulnBench: A Comprehensive Benchmark for Transformer-Based Vulnerability Detection.Jake Norton, David M. Eyers, Veronica Liesaputra
2026Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare.Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss
2026TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization.Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han
2026iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract).Ashikur Rahman Nobel, Jacob Matos, Honggang Wang, Hua Fang
2026Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection.Zhibin Ni, Chenghao Zhang, Hai Wan, Xibin Zhao
2026DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection.Kang Ni, Minrui Zou, Yuxuan Li, Xiang Li, Kehua Guo, Ming-Ming Cheng, Yimian Dai
2026GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection.Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang
2026Multi-Agent Corridor Reasoning for Multi-Agent Path Finding.Yiran Ni, Deshi Ye
2026GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging.Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Sen Hu, Bo Li, Chen Hu, Binxing Jiao, Daxin Jiang, Yuntao Du, Pin Lyu
2026Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph.Zhibin Ni, Hai Wan, Xibin Zhao
2026TokenPowerBench: Benchmarking the Power Consumption of LLM Inference.Chenxu Niu, Wei Zhang, Jie Li, Yongjian Zhao, Tongyang Wang, Xi Wang, Yong Chen
2026From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation.Ke Niu, Haiyang Yu, Zhuofan Chen, Mengyang Zhao, Teng Fu, Bin Li, Xiangyang Xue
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Comparable venues

Other A*/A conferences filed under the same field of research.