AAAI

OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning

OWL：通过占用引导预热和大模型先验推理实现无监督3D物体检测

Xusheng Guo, Wanfa Zhang, Shijia Zhao, Qiming Xia, Xiaolong Xie, Mingming Wang, Hai Wu, Chenglu Wen

AI总结 OWL通过占用引导预热和大模型先验推理实现无监督3D物体检测，有效提升mAP性能15%以上。

Comments The 40th Annual AAAI Conference on Artificial Intelligence

Decoding with Structured Awareness: Integrating Directional, Frequency-Spatial, and Structural Attention for Medical Image Segmentation

基于结构意识的解码：整合方向、频率-空间和结构注意力用于医学图像分割

Fan Zhang, Zhiwei Gu, Hua Wang

AI总结 本文提出基于结构意识的解码框架，整合方向、频率-空间和结构注意力，提升医学图像分割的精度和泛化能力。

Comments Accepted to AAAI 2026

Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment

动态对齐与集体代理：迈向一个可扩展的自我改进框架以实现开放式的LLM对齐

Panatchakorn Anantaprayoon, Nataliia Babina, Jad Tarifi, Nima Asgharbeygi

机构 * Integral AI 纠错

AI总结 本文提出动态对齐框架，通过集体代理价值实现LLM的自我改进和可扩展对齐。

Comments 8 pages, 4 figures, to appear in AAAI 2026 AIGOV Workshop

The Seeds of Scheming: Weakness of Will in the Building Blocks of Agentic Systems

计划的种子：代理系统构建块中的弱点意志

Robert Yang

AI总结 本文提出将'意志薄弱'作为分析代理AI系统不一致性和目标漂移的基础概念，并引入Akrasia基准以评估模型的自我控制能力。

Comments 4 pages + appendix. AAAI 2026 FAST Workshop (Oral)

Taxonomy-Adaptive Moderation Model with Robust Guardrails for Large Language Models

具有鲁棒防护栏的分类适应调谐模型用于大型语言模型

Mahesh Kumar Nandwana, Youngwan Lim, Joseph Liu, Alex Yang, Varun Notibala, Nishchaie Khanna

机构 * Project Lead（项目负责人） 纠错

AI总结 Roblox Guard 1.0通过指令微调提升大型语言模型的安全性，采用输入输出调谐和可扩展的安全分类评估框架。

Comments To be presented at AAAI-26 PerFM Workshop

H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation

H-GAR: 一种通过目标驱动的观察-动作细化的分层交互框架用于机器人操控

Yijie Zhu, Rui Shao, Ziyang Liu, Jie He, Jizhihui Liu, Jiuru Wang, Zitong Yu

AI总结 H-GAR通过目标驱动的观察-动作细化分层框架提升机器人操控的准确性和一致性。

Comments Accepted to AAAI 2026 (Oral), Project Page: https://github.com/JiuTian-VL/H-GAR

Yours or Mine? Overwriting Attacks Against Neural Audio Watermarking

你是的还是我的？针对神经音频水印的覆盖攻击

Lingfeng Yao, Chenpei Huang, Shengyao Wang, Junpei Xue, Hanqing Guo, Jiang Liu, Phone Lin, Tomoaki Ohtsuki, Miao Pan

AI总结 本文提出针对神经音频水印的覆盖攻击，揭示现有系统安全漏洞，强调未来需加强安全设计。

Comments Accepted by AAAI 2026

REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation

REINA：基于正则化熵信息的损失函数，用于高效的同时语音翻译

Nameer Hirschkind, Joseph Liu, Xiao Yu, Mahesh Kumar Nandwana

AI总结 REINA通过正则化熵信息损失函数优化同时语音翻译的延迟与质量平衡，实现21%的权衡改进。

Comments Accepted to AAAI 2026 (Oral Track)

Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching

预见未来：基于时间 horizon 匹配的全部一次事件序列预测

Ivan Karpukhin, Andrey Savchenko

AI总结 DEF提出了一种基于时间horizon匹配的事件序列预测方法，实现了高精度和多样性的长周期事件预测，并在多个领域取得显著提升。

Comments Accepted to AAAI 2026